mirror of
https://github.com/paperless-ngx/paperless-ngx.git
synced 2025-11-03 03:16:10 -06:00
reworked PDF parser that uses OCRmyPDF and produces archive files.
This commit is contained in:
Jonas Winkler
2
Pipfile
2
Pipfile
@@ -23,7 +23,6 @@ langdetect = "*"
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pdftotext = "*"
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pathvalidate = "*"
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pillow = "*"
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pyocr = "~=0.7.2"
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python-gnupg = "*"
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python-dotenv = "*"
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python-dateutil = "*"
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@@ -35,6 +34,7 @@ scikit-learn="~=0.23.2"
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whitenoise = "~=5.2.0"
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watchdog = "*"
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whoosh="~=2.7.4"
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ocrmypdf = "*"
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[dev-packages]
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coveralls = "*"
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292
Pipfile.lock
generated
292
Pipfile.lock
generated
@@ -1,7 +1,7 @@
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{
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"_meta": {
|
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"hash": {
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"sha256": "ae2643b9cf0cf5741ae149fb6bc0c480de41329ce48e773eb4b5d760bc5e2244"
|
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"sha256": "cf1c008df0080c01273c032aef59bd841e4f27b66beaf3fa459665a7a7a4fcc4"
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},
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"pipfile-spec": 6,
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"requires": {},
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@@ -42,6 +42,94 @@
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],
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"version": "==1.17.11"
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},
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"cffi": {
|
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"hashes": [
|
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"sha256:00a1ba5e2e95684448de9b89888ccd02c98d512064b4cb987d48f4b40aa0421e",
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||||
"sha256:00e28066507bfc3fe865a31f325c8391a1ac2916219340f87dfad602c3e48e5d",
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"sha256:045d792900a75e8b1e1b0ab6787dd733a8190ffcf80e8c8ceb2fb10a29ff238a",
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||||
"sha256:0638c3ae1a0edfb77c6765d487fee624d2b1ee1bdfeffc1f0b58c64d149e7eec",
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||||
"sha256:105abaf8a6075dc96c1fe5ae7aae073f4696f2905fde6aeada4c9d2926752362",
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"sha256:155136b51fd733fa94e1c2ea5211dcd4c8879869008fc811648f16541bf99668",
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||||
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"sha256:2c24d61263f511551f740d1a065eb0212db1dbbbbd241db758f5244281590c06",
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"sha256:51a8b381b16ddd370178a65360ebe15fbc1c71cf6f584613a7ea08bfad946698",
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"sha256:594234691ac0e9b770aee9fcdb8fa02c22e43e5c619456efd0d6c2bf276f3eb2",
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||||
"sha256:5cf4be6c304ad0b6602f5c4e90e2f59b47653ac1ed9c662ed379fe48a8f26b0c",
|
||||
"sha256:64081b3f8f6f3c3de6191ec89d7dc6c86a8a43911f7ecb422c60e90c70be41c7",
|
||||
"sha256:6bc25fc545a6b3d57b5f8618e59fc13d3a3a68431e8ca5fd4c13241cd70d0009",
|
||||
"sha256:798caa2a2384b1cbe8a2a139d80734c9db54f9cc155c99d7cc92441a23871c03",
|
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"sha256:7c6b1dece89874d9541fc974917b631406233ea0440d0bdfbb8e03bf39a49b3b",
|
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"sha256:840793c68105fe031f34d6a086eaea153a0cd5c491cde82a74b420edd0a2b909",
|
||||
"sha256:8d6603078baf4e11edc4168a514c5ce5b3ba6e3e9c374298cb88437957960a53",
|
||||
"sha256:9cc46bc107224ff5b6d04369e7c595acb700c3613ad7bcf2e2012f62ece80c35",
|
||||
"sha256:9f7a31251289b2ab6d4012f6e83e58bc3b96bd151f5b5262467f4bb6b34a7c26",
|
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"sha256:9ffb888f19d54a4d4dfd4b3f29bc2c16aa4972f1c2ab9c4ab09b8ab8685b9c2b",
|
||||
"sha256:a7711edca4dcef1a75257b50a2fbfe92a65187c47dab5a0f1b9b332c5919a3fb",
|
||||
"sha256:af5c59122a011049aad5dd87424b8e65a80e4a6477419c0c1015f73fb5ea0293",
|
||||
"sha256:b18e0a9ef57d2b41f5c68beefa32317d286c3d6ac0484efd10d6e07491bb95dd",
|
||||
"sha256:b4e248d1087abf9f4c10f3c398896c87ce82a9856494a7155823eb45a892395d",
|
||||
"sha256:ba4e9e0ae13fc41c6b23299545e5ef73055213e466bd107953e4a013a5ddd7e3",
|
||||
"sha256:be8661bcee1bc2fc4b033a6ab65bd1f87ce5008492601695d0b9a4e820c3bde5",
|
||||
"sha256:c6332685306b6417a91b1ff9fae889b3ba65c2292d64bd9245c093b1b284809d",
|
||||
"sha256:d9efd8b7a3ef378dd61a1e77367f1924375befc2eba06168b6ebfa903a5e59ca",
|
||||
"sha256:df5169c4396adc04f9b0a05f13c074df878b6052430e03f50e68adf3a57aa28d",
|
||||
"sha256:ebb253464a5d0482b191274f1c8bf00e33f7e0b9c66405fbffc61ed2c839c775",
|
||||
"sha256:ec80dc47f54e6e9a78181ce05feb71a0353854cc26999db963695f950b5fb375",
|
||||
"sha256:f032b34669220030f905152045dfa27741ce1a6db3324a5bc0b96b6c7420c87b",
|
||||
"sha256:f60567825f791c6f8a592f3c6e3bd93dd2934e3f9dac189308426bd76b00ef3b",
|
||||
"sha256:f803eaa94c2fcda012c047e62bc7a51b0bdabda1cad7a92a522694ea2d76e49f"
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],
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||||
"version": "==1.14.4"
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||||
},
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||||
"chardet": {
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"hashes": [
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"sha256:84ab92ed1c4d4f16916e05906b6b75a6c0fb5db821cc65e70cbd64a3e2a5eaae",
|
||||
"sha256:fc323ffcaeaed0e0a02bf4d117757b98aed530d9ed4531e3e15460124c106691"
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],
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||||
"markers": "python_version >= '3.1'",
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"version": "==3.0.4"
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},
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"coloredlogs": {
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||||
"hashes": [
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||||
"sha256:346f58aad6afd48444c2468618623638dadab76e4e70d5e10822676f2d32226a",
|
||||
"sha256:a1fab193d2053aa6c0a97608c4342d031f1f93a3d1218432c59322441d31a505",
|
||||
"sha256:b0c2124367d4f72bd739f48e1f61491b4baf145d6bda33b606b4a53cb3f96a97"
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||||
],
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||||
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
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"version": "==14.0"
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},
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"cryptography": {
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||||
"hashes": [
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"sha256:07ca431b788249af92764e3be9a488aa1d39a0bc3be313d826bbec690417e538",
|
||||
"sha256:13b88a0bd044b4eae1ef40e265d006e34dbcde0c2f1e15eb9896501b2d8f6c6f",
|
||||
"sha256:257dab4f368fae15f378ea9a4d2799bf3696668062de0e9fa0ebb7a738a6917d",
|
||||
"sha256:32434673d8505b42c0de4de86da8c1620651abd24afe91ae0335597683ed1b77",
|
||||
"sha256:3cd75a683b15576cfc822c7c5742b3276e50b21a06672dc3a800a2d5da4ecd1b",
|
||||
"sha256:4e7268a0ca14536fecfdf2b00297d4e407da904718658c1ff1961c713f90fd33",
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||||
"sha256:545a8550782dda68f8cdc75a6e3bf252017aa8f75f19f5a9ca940772fc0cb56e",
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||||
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||||
"sha256:5849d59358547bf789ee7e0d7a9036b2d29e9a4ddf1ce5e06bb45634f995c53e",
|
||||
"sha256:59f7d4cfea9ef12eb9b14b83d79b432162a0a24a91ddc15c2c9bf76a68d96f2b",
|
||||
"sha256:6dc59630ecce8c1f558277ceb212c751d6730bd12c80ea96b4ac65637c4f55e7",
|
||||
"sha256:7117319b44ed1842c617d0a452383a5a052ec6aa726dfbaffa8b94c910444297",
|
||||
"sha256:75e8e6684cf0034f6bf2a97095cb95f81537b12b36a8fedf06e73050bb171c2d",
|
||||
"sha256:7b8d9d8d3a9bd240f453342981f765346c87ade811519f98664519696f8e6ab7",
|
||||
"sha256:a035a10686532b0587d58a606004aa20ad895c60c4d029afa245802347fab57b",
|
||||
"sha256:a4e27ed0b2504195f855b52052eadcc9795c59909c9d84314c5408687f933fc7",
|
||||
"sha256:a733671100cd26d816eed39507e585c156e4498293a907029969234e5e634bc4",
|
||||
"sha256:a75f306a16d9f9afebfbedc41c8c2351d8e61e818ba6b4c40815e2b5740bb6b8",
|
||||
"sha256:bd717aa029217b8ef94a7d21632a3bb5a4e7218a4513d2521c2a2fd63011e98b",
|
||||
"sha256:d25cecbac20713a7c3bc544372d42d8eafa89799f492a43b79e1dfd650484851",
|
||||
"sha256:d26a2557d8f9122f9bf445fc7034242f4375bd4e95ecda007667540270965b13",
|
||||
"sha256:d3545829ab42a66b84a9aaabf216a4dce7f16dbc76eb69be5c302ed6b8f4a29b",
|
||||
"sha256:d3d5e10be0cf2a12214ddee45c6bd203dab435e3d83b4560c03066eda600bfe3",
|
||||
"sha256:efe15aca4f64f3a7ea0c09c87826490e50ed166ce67368a68f315ea0807a20df"
|
||||
],
|
||||
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
|
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"version": "==3.2.1"
|
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},
|
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"dateparser": {
|
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"hashes": [
|
||||
"sha256:7552c994f893b5cb8fcf103b4cd2ff7f57aab9bfd2619fdf0cf571c0740fd90b",
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@@ -121,6 +209,14 @@
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"index": "pypi",
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"version": "==20.0.4"
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},
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"humanfriendly": {
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"hashes": [
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||||
"sha256:bf52ec91244819c780341a3438d5d7b09f431d3f113a475147ac9b7b167a3d12",
|
||||
"sha256:e78960b31198511f45fd455534ae7645a6207d33e512d2e842c766d15d9c8080"
|
||||
],
|
||||
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
|
||||
"version": "==8.2"
|
||||
},
|
||||
"imap-tools": {
|
||||
"hashes": [
|
||||
"sha256:96e9a4ff6483462635737730a1df28e739faa71967b12a84f4363fb386542246",
|
||||
@@ -129,6 +225,13 @@
|
||||
"index": "pypi",
|
||||
"version": "==0.32.0"
|
||||
},
|
||||
"img2pdf": {
|
||||
"hashes": [
|
||||
"sha256:57905015579b1026acf1605aa95859cd79b051fa1c35485573d165526fc9dbb5",
|
||||
"sha256:eaee690ab8403dd1a9cb4db10afee41dd3e6c7ed63bdace02a0121f9feadb0c9"
|
||||
],
|
||||
"version": "==0.4.0"
|
||||
},
|
||||
"joblib": {
|
||||
"hashes": [
|
||||
"sha256:698c311779f347cf6b7e6b8a39bb682277b8ee4aba8cf9507bc0cf4cd4737b72",
|
||||
@@ -146,6 +249,51 @@
|
||||
"index": "pypi",
|
||||
"version": "==1.0.8"
|
||||
},
|
||||
"lxml": {
|
||||
"hashes": [
|
||||
"sha256:098fb713b31050463751dcc694878e1d39f316b86366fb9fe3fbbe5396ac9fab",
|
||||
"sha256:0e89f5d422988c65e6936e4ec0fe54d6f73f3128c80eb7ecc3b87f595523607b",
|
||||
"sha256:189ad47203e846a7a4951c17694d845b6ade7917c47c64b29b86526eefc3adf5",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"sha256:d20d32cbb31d731def4b1502294ca2ee99f9249b63bc80e03e67e8f8e126dea8",
|
||||
"sha256:d4ad7fd3269281cb471ad6c7bafca372e69789540d16e3755dd717e9e5c9d82f",
|
||||
"sha256:d6f8c23f65a4bfe4300b85f1f40f6c32569822d08901db3b6454ab785d9117cc",
|
||||
"sha256:d84d741c6e35c9f3e7406cb7c4c2e08474c2a6441d59322a00dcae65aac6315d",
|
||||
"sha256:e65c221b2115a91035b55a593b6eb94aa1206fa3ab374f47c6dc10d364583ff9",
|
||||
"sha256:f98b6f256be6cec8dd308a8563976ddaff0bdc18b730720f6f4bee927ffe926f"
|
||||
],
|
||||
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
|
||||
"version": "==4.6.1"
|
||||
},
|
||||
"numpy": {
|
||||
"hashes": [
|
||||
"sha256:08308c38e44cc926bdfce99498b21eec1f848d24c302519e64203a8da99a97db",
|
||||
@@ -187,6 +335,14 @@
|
||||
"markers": "python_version >= '3.6'",
|
||||
"version": "==1.19.4"
|
||||
},
|
||||
"ocrmypdf": {
|
||||
"hashes": [
|
||||
"sha256:20722d89d2f0deeb5b3ffa8622ead59d54af46d44f21848ec0f15ef79ce1a4a3",
|
||||
"sha256:c592e1bb37abafd24f067043bbf98d25405521cbe1e992de30d8b870dbe86928"
|
||||
],
|
||||
"index": "pypi",
|
||||
"version": "==11.3.3"
|
||||
},
|
||||
"pathtools": {
|
||||
"hashes": [
|
||||
"sha256:7c35c5421a39bb82e58018febd90e3b6e5db34c5443aaaf742b3f33d4655f1c0",
|
||||
@@ -202,6 +358,14 @@
|
||||
"index": "pypi",
|
||||
"version": "==2.3.0"
|
||||
},
|
||||
"pdfminer.six": {
|
||||
"hashes": [
|
||||
"sha256:b9aac0ebeafb21c08bf65f2039f4b2c5f78a3449d0a41df711d72445649e952a",
|
||||
"sha256:d78877ba8d8bf957f3bb636c4f73f4f6f30f56c461993877ac22c39c20837509"
|
||||
],
|
||||
"markers": "python_version >= '3.4'",
|
||||
"version": "==20201018"
|
||||
},
|
||||
"pdftotext": {
|
||||
"hashes": [
|
||||
"sha256:98aeb8b07a4127e1a30223bd933ef080bbd29aa88f801717ca6c5618380b8aa6"
|
||||
@@ -209,6 +373,33 @@
|
||||
"index": "pypi",
|
||||
"version": "==2.1.5"
|
||||
},
|
||||
"pikepdf": {
|
||||
"hashes": [
|
||||
"sha256:0dd42f791f29e7e2ab120103605b9ddd65937c773a72d21341a56873a89e76c9",
|
||||
"sha256:12a1d243143cf972ce11def50f0bd1f6e630f5e660cdeddb2c7c49db5adad40a",
|
||||
"sha256:2e1713af11b71e95c2d218c10d68b6f8e813be19c8596c560f3c84617f6d5437",
|
||||
"sha256:2f90acad26d9939193946eb6ca8363fd3cf44b46b5c1409468906618bccb8113",
|
||||
"sha256:3c482fe30fd58ff385795605a9233f37f97fb83427c3e829b1a568a2a3b59f60",
|
||||
"sha256:3ddabfc33a8a7cecba76c1685ce5125fdf239a38d0854d7c2a703490b5783773",
|
||||
"sha256:61dd3f13b7416111d19bf493ce4e7281f63a1dd22c532200cbbcd65813ea43e4",
|
||||
"sha256:6ce42b7780835fb52452ccaff3a3ac1b28ae1f9d80faab59c559045d9fcb211d",
|
||||
"sha256:6dba75782f108ebbf3947fcb29ea0ba7da0482868e53f6602643adc36245201d",
|
||||
"sha256:716427a5c0372f3cc7dc282c4b49d49d8d5182a3e937739a4c3632151e74d6a4",
|
||||
"sha256:730ef4013099da7ea722a9b5659260097af6f47ddfa3c2abab4d4493de2591f3",
|
||||
"sha256:73e14bba4135adfb89ae2f2163369bd788ecf23839acc8d062d832118f07e288",
|
||||
"sha256:84df07acc8968051da33891af55a3ab1aa55453d83df4ce9b84d821eedc34583",
|
||||
"sha256:8f739e9c660d71cd479f11f9aa110857cf0d0d9c2472f40bbcbaf02f980355a1",
|
||||
"sha256:a20ca7adbb9d3da416cf5f6de0ebca53855f9a3b99acdd6ec864c61482894d71",
|
||||
"sha256:bc58d9486c0959619a2584e558a54d36468c6d1165cd9fe0bfb1ecc3e6b33c6a",
|
||||
"sha256:c0627930a17b3a5e1a7c9109099535259afc50fe006a05af9c3634de05abd318",
|
||||
"sha256:de5f445eaaadd7dae56e1043ab8ca5eef49ece302a4e37e1fc6d21b7dcfcfb1b",
|
||||
"sha256:de6aae7782db33f2cc71c9ba63b7e2ec0e0529843c065eac4e71fcbe043426e2",
|
||||
"sha256:e2efd844c09f8ce3103a93bfbd54983542a0a63c88bdc0f0cdbb2997f99a147d",
|
||||
"sha256:fdb481ad1219e8d667625afd2f01b26f98df079e4f66e7e49816ec20c8d8c401"
|
||||
],
|
||||
"markers": "python_version < '3.9'",
|
||||
"version": "==2.1.2"
|
||||
},
|
||||
"pillow": {
|
||||
"hashes": [
|
||||
"sha256:006de60d7580d81f4a1a7e9f0173dc90a932e3905cc4d47ea909bc946302311a",
|
||||
@@ -244,6 +435,14 @@
|
||||
"index": "pypi",
|
||||
"version": "==8.0.1"
|
||||
},
|
||||
"pluggy": {
|
||||
"hashes": [
|
||||
"sha256:15b2acde666561e1298d71b523007ed7364de07029219b604cf808bfa1c765b0",
|
||||
"sha256:966c145cd83c96502c3c3868f50408687b38434af77734af1e9ca461a4081d2d"
|
||||
],
|
||||
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
|
||||
"version": "==0.13.1"
|
||||
},
|
||||
"psycopg2-binary": {
|
||||
"hashes": [
|
||||
"sha256:0deac2af1a587ae12836aa07970f5cb91964f05a7c6cdb69d8425ff4c15d4e2c",
|
||||
@@ -287,13 +486,13 @@
|
||||
"index": "pypi",
|
||||
"version": "==2.8.6"
|
||||
},
|
||||
"pyocr": {
|
||||
"pycparser": {
|
||||
"hashes": [
|
||||
"sha256:fa15adc7e1cf0d345a2990495fe125a947c6e09a60ddba0256a1c14b2e603179",
|
||||
"sha256:fd602af17b6e21985669aadc058a95f343ff921e962ed4aa6520ded32e4d1301"
|
||||
"sha256:2d475327684562c3a96cc71adf7dc8c4f0565175cf86b6d7a404ff4c771f15f0",
|
||||
"sha256:7582ad22678f0fcd81102833f60ef8d0e57288b6b5fb00323d101be910e35705"
|
||||
],
|
||||
"index": "pypi",
|
||||
"version": "==0.7.2"
|
||||
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
|
||||
"version": "==2.20"
|
||||
},
|
||||
"python-dateutil": {
|
||||
"hashes": [
|
||||
@@ -401,6 +600,53 @@
|
||||
],
|
||||
"version": "==2020.11.13"
|
||||
},
|
||||
"reportlab": {
|
||||
"hashes": [
|
||||
"sha256:06be7f04a631f02cd0202f7dee0d3e61dc265223f4ff861525ed7784b5552540",
|
||||
"sha256:0a788a537c48915eda083485b59ac40ac012fa7c43070069bde6eb5ea588313c",
|
||||
"sha256:1a7a38810e79653d0ea8e61db4f0517ac2a0e76edd2497cf6d4969dd3be30030",
|
||||
"sha256:22301773db730545b44d4c77d8f29baf5683ccabec9883d978e8b8eda6d2175f",
|
||||
"sha256:2906321b3d2779faafe47e2c13f9c69e1fb4ddb907f5a49cab3f9b0ea95df1f5",
|
||||
"sha256:2d65f9cc5c0d3f63b5d024e6cf92234f1ab1f267cc9e5a847ab5d3efe1c3cf3e",
|
||||
"sha256:2e012f7b845ef9f1f5bd63461d5201fa624b019a65ff5a93d0002b4f915bbc89",
|
||||
"sha256:31ccfdbf5bb5ec85f0397661085ce4c9e52537ca0d2bf4220259666a4dcc55c2",
|
||||
"sha256:3e10bd20c8ada9f7e1113157aa73b8e0048f2624e74794b73799c3deb13d7a3f",
|
||||
"sha256:440d5f86c2b822abdb7981d691a78bdcf56f4710174830283034235ab2af2969",
|
||||
"sha256:4f307accda32c9f17015ed77c7424f904514e349dff063f78d2462d715963e53",
|
||||
"sha256:59659ee8897950fd1acd41a9cc61f4afdfda52dc2bb69a1924ce68089491849d",
|
||||
"sha256:6216b11313467989ac9d9578ea3756d0af46e97184ee4e11a6b7ef652458f70d",
|
||||
"sha256:6268a9a3d75e714b22beeb7687270956b06b232ccfdf37b1c6462961eab04457",
|
||||
"sha256:6b226830f80df066d5986a3fdb3eb4d1b6320048f3d9ade539a6c03a5bc8b3ec",
|
||||
"sha256:6e10eba6a0e330096f4200b18824b3194c399329b7830e34baee1c04ea07f99f",
|
||||
"sha256:6e224c16c3d6fafdb2fb67b33c4b84d984ec34869834b3a137809f2fe5b84778",
|
||||
"sha256:7da162fa677b90bd14f19b20ff80fec18c24a31ac44e5342ba49e198b13c4f92",
|
||||
"sha256:8406e960a974a65b765c9ff74b269aa64718b4af1e8c511ebdbd9a5b44b0c7e6",
|
||||
"sha256:8999bb075102d1b8ca4aada6ca14653d52bf02e37fd064e477eb180741f75077",
|
||||
"sha256:8ae21aa94e405bf5171718f11ebc702a0edf18c91d88b14c5c5724cabd664673",
|
||||
"sha256:8f6163729612e815b89649aed2e237505362a78014199f819fd92f9e5c96769b",
|
||||
"sha256:9699fa8f0911ad56b46cc60bbaebe1557fd1c9e8da98185a7a1c0c40193eba48",
|
||||
"sha256:9a53d76eec33abda11617aad1c9f5f4a2d906dd2f92a03a3f1ea370efbb52c95",
|
||||
"sha256:9ed4d761b726ff411565eddb10cb37a6bca0ec873d9a18a83cf078f4502a2d94",
|
||||
"sha256:a020d308e7c2de284d5407e3c6c13e3977a62b314f7bfe19bcc69677931da589",
|
||||
"sha256:a2e6c15aecbe631245aab639751a58671312cced7e17de1ed9c45fb37036f6c9",
|
||||
"sha256:b10cb48606d97b70edb094576e3d493d40467395e4fc267655135a2c92defbe8",
|
||||
"sha256:b8d6e9df5181ed07b7ae145258eb69e686133afc97930af51a3c0c9d784d834d",
|
||||
"sha256:bbb297754f5cf25eb8fcb817752984252a7feb0ca83e383718e4eec2fb67ea32",
|
||||
"sha256:be90599e5e78c1ddfcfee8c752108def58b4c672ebcc4d3d9aa7fe65e7d3f16b",
|
||||
"sha256:bfdfad9b8ae00bd0752b77f954c7405327fd99b2cc6d5e4273e65be61429d56a",
|
||||
"sha256:c1e5ef5089e16b249388f65d8c8f8b74989e72eb8332060dc580a2ecb967cfc2",
|
||||
"sha256:c5ed342e29a5fd7eeb0f2ccf7e5b946b5f750f05633b2d6a94b1c02094a77967",
|
||||
"sha256:c7087a26b26aa82a3ba27e13e66f507cc697f9ceb4c046c0f758876b55f040a5",
|
||||
"sha256:cf589e980d92b0bf343fa512b9d3ae9ed0469cbffd99cb270b6c83da143cb437",
|
||||
"sha256:e6fb762e524a4fb118be9f44dbd9456cf80e42253ee8f1bdb0ea5c1f882d4ba8",
|
||||
"sha256:e961d3a84c65ca030963ca934a4faad2ac9fee75af36ba2f98733da7d3f7efab",
|
||||
"sha256:f2fde5abb6f21c1eff5430f380cdbbee7fdeda6af935a83730ddce9f0c4e504e",
|
||||
"sha256:f585b3bf7062c228306acd7f40b2ad915b32603228c19bb225952cc98fd2015a",
|
||||
"sha256:f955a6366cf8e6729776c96e281bede468acd74f6eb49a5bbb048646adaa43d8",
|
||||
"sha256:fe882fd348d8429debbdac4518d6a42888a7f4ad613dc596ce94788169caeb08"
|
||||
],
|
||||
"version": "==3.5.55"
|
||||
},
|
||||
"scikit-learn": {
|
||||
"hashes": [
|
||||
"sha256:090bbf144fd5823c1f2efa3e1a9bf180295b24294ca8f478e75b40ed54f8036e",
|
||||
@@ -464,6 +710,13 @@
|
||||
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
|
||||
"version": "==1.15.0"
|
||||
},
|
||||
"sortedcontainers": {
|
||||
"hashes": [
|
||||
"sha256:37257a32add0a3ee490bb170b599e93095eed89a55da91fa9f48753ea12fd73f",
|
||||
"sha256:59cc937650cf60d677c16775597c89a960658a09cf7c1a668f86e1e4464b10a1"
|
||||
],
|
||||
"version": "==2.3.0"
|
||||
},
|
||||
"sqlparse": {
|
||||
"hashes": [
|
||||
"sha256:017cde379adbd6a1f15a61873f43e8274179378e95ef3fede90b5aa64d304ed0",
|
||||
@@ -480,6 +733,14 @@
|
||||
"markers": "python_version >= '3.5'",
|
||||
"version": "==2.1.0"
|
||||
},
|
||||
"tqdm": {
|
||||
"hashes": [
|
||||
"sha256:3d3f1470d26642e88bd3f73353cb6ff4c51ef7d5d7efef763238f4bc1f7e4e81",
|
||||
"sha256:5ff3f5232b19fa4c5531641e480b7fad4598819f708a32eb815e6ea41c5fa313"
|
||||
],
|
||||
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
|
||||
"version": "==4.53.0"
|
||||
},
|
||||
"tzlocal": {
|
||||
"hashes": [
|
||||
"sha256:643c97c5294aedc737780a49d9df30889321cbe1204eac2c2ec6134035a92e44",
|
||||
@@ -489,11 +750,11 @@
|
||||
},
|
||||
"watchdog": {
|
||||
"hashes": [
|
||||
"sha256:034c85530b647486e8c8477410fe79476511282658f2ce496f97106d9e5acfb8",
|
||||
"sha256:4214e1379d128b0588021880ccaf40317ee156d4603ac388b9adcf29165e0c04"
|
||||
"sha256:3caefdcc8f06a57fdc5ef2d22aa7c0bfda4f55e71a0bee74cbf3176d97536ef3",
|
||||
"sha256:e38bffc89b15bafe2a131f0e1c74924cf07dcec020c2e0a26cccd208831fcd43"
|
||||
],
|
||||
"index": "pypi",
|
||||
"version": "==0.10.3"
|
||||
"version": "==0.10.4"
|
||||
},
|
||||
"wcwidth": {
|
||||
"hashes": [
|
||||
@@ -571,6 +832,7 @@
|
||||
"sha256:84ab92ed1c4d4f16916e05906b6b75a6c0fb5db821cc65e70cbd64a3e2a5eaae",
|
||||
"sha256:fc323ffcaeaed0e0a02bf4d117757b98aed530d9ed4531e3e15460124c106691"
|
||||
],
|
||||
"markers": "python_version >= '3.1'",
|
||||
"version": "==3.0.4"
|
||||
},
|
||||
"coverage": {
|
||||
@@ -663,11 +925,11 @@
|
||||
},
|
||||
"faker": {
|
||||
"hashes": [
|
||||
"sha256:3f5d379e4b5ce92a8afe3c2ce59d7c43886370dd3bf9495a936b91888debfc81",
|
||||
"sha256:8c0e8a06acef4b9312902e2ce18becabe62badd3a6632180bd0680c6ee111473"
|
||||
"sha256:5398268e1d751ffdb3ed36b8a790ed98659200599b368eec38a02eed15bce997",
|
||||
"sha256:d4183b8f57316de3be27cd6c3b40e9f9343d27c95c96179f027316c58c2c239e"
|
||||
],
|
||||
"markers": "python_version >= '3.5'",
|
||||
"version": "==4.17.0"
|
||||
"version": "==4.17.1"
|
||||
},
|
||||
"filelock": {
|
||||
"hashes": [
|
||||
@@ -999,11 +1261,11 @@
|
||||
},
|
||||
"virtualenv": {
|
||||
"hashes": [
|
||||
"sha256:b0011228208944ce71052987437d3843e05690b2f23d1c7da4263fde104c97a2",
|
||||
"sha256:b8d6110f493af256a40d65e29846c69340a947669eec8ce784fcf3dd3af28380"
|
||||
"sha256:07cff122e9d343140366055f31be4dcd61fd598c69d11cd33a9d9c8df4546dd7",
|
||||
"sha256:e0aac7525e880a429764cefd3aaaff54afb5d9f25c82627563603f5d7de5a6e5"
|
||||
],
|
||||
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
|
||||
"version": "==20.1.0"
|
||||
"version": "==20.2.1"
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -218,11 +218,37 @@ PAPERLESS_OCR_LANGUAGE=<lang>
|
||||
|
||||
Defaults to "eng".
|
||||
|
||||
PAPERLESS_OCR_ALWAYS=<bool>
|
||||
By default Paperless does not OCR a document if the text can be retrieved from
|
||||
the document directly. Set to true to always OCR documents.
|
||||
PAPERLESS_OCR_MODE=<mode>
|
||||
Tell paperless when and how to perform ocr on your documents. Three modes
|
||||
are available:
|
||||
|
||||
Defaults to false.
|
||||
* ``skip``: Paperless skips all pages and will perform ocr only on pages
|
||||
where no text is present. This is the safest and fastest option.
|
||||
* ``redo``: Paperless will OCR all pages of your documents and attempt to
|
||||
replace any existing text layers with new text. This will be useful for
|
||||
documents from scanners that already performed OCR with insufficient
|
||||
results. It will also perform OCR on purely digital documents.
|
||||
|
||||
This option may fail on some documents that have features that cannot
|
||||
be removed, such as forms. In this case, the text from the document is
|
||||
used instead.
|
||||
* ``force``: Paperless rasterizes your documents, converting any text
|
||||
into images and puts the OCRed text on top. This works for all documents,
|
||||
however, the resulting document may be significantly larger and text
|
||||
won't appear as sharp when zoomed in.
|
||||
|
||||
The default is ``skip``, which only performs OCR when necessary.
|
||||
|
||||
PAPERLESS_OCR_OUTPUT_TYPE=<type>
|
||||
Specify the the type of PDF documents that paperless should produce.
|
||||
|
||||
* ``pdf``: Modify the PDF document as little as possible.
|
||||
* ``pdfa``: Convert PDF documents into PDF/A documents, which is a
|
||||
subset of the entire PDF specification and meant for storing
|
||||
documents long term.
|
||||
|
||||
If not specified, ``pdfa`` is used. Remember that paperless also keeps
|
||||
the original input file as well as the archived version.
|
||||
|
||||
PAPERLESS_CONSUMER_POLLING=<num>
|
||||
If paperless won't find documents added to your consume folder, it might
|
||||
|
||||
@@ -38,7 +38,8 @@
|
||||
#PAPERLESS_TIME_ZONE=UTC
|
||||
#PAPERLESS_OCR_PAGES=1
|
||||
#PAPERLESS_OCR_LANGUAGE=eng
|
||||
#PAPERLESS_OCR_ALWAYS=false
|
||||
#PAPERLESS_OCR_OUTPUT_TYPE=pdfa
|
||||
#PAPERLESS_OCR_MODE=skip
|
||||
#PAPERLESS_CONSUMER_POLLING=10
|
||||
#PAPERLESS_CONSUMER_DELETE_DUPLICATES=false
|
||||
#PAPERLESS_CONVERT_MEMORY_LIMIT=0
|
||||
|
||||
@@ -107,23 +107,6 @@ def run_convert(input_file,
|
||||
raise ParseError("Convert failed at {}".format(args))
|
||||
|
||||
|
||||
def run_unpaper(pnm, logging_group=None):
|
||||
pnm_out = pnm.replace(".pnm", ".unpaper.pnm")
|
||||
|
||||
command_args = (settings.UNPAPER_BINARY, "--overwrite", "--quiet", pnm,
|
||||
pnm_out)
|
||||
|
||||
logger.debug(f"Execute: {' '.join(command_args)}",
|
||||
extra={'group': logging_group})
|
||||
|
||||
if not subprocess.Popen(command_args,
|
||||
stdout=subprocess.DEVNULL,
|
||||
stderr=subprocess.DEVNULL).wait() == 0:
|
||||
raise ParseError(f"Unpaper failed at {command_args}")
|
||||
|
||||
return pnm_out
|
||||
|
||||
|
||||
class ParseError(Exception):
|
||||
pass
|
||||
|
||||
|
||||
@@ -338,9 +338,13 @@ OCR_PAGES = int(os.getenv('PAPERLESS_OCR_PAGES', 0))
|
||||
# documents. It should be a 3-letter language code consistent with ISO 639.
|
||||
OCR_LANGUAGE = os.getenv("PAPERLESS_OCR_LANGUAGE", "eng")
|
||||
|
||||
# OCRmyPDF --output-type options are available.
|
||||
# TODO: validate this setting.
|
||||
OCR_OUTPUT_TYPE = os.getenv("PAPERLESS_OCR_OUTPUT_TYPE", "pdfa")
|
||||
|
||||
# OCR all documents?
|
||||
OCR_ALWAYS = __get_boolean("PAPERLESS_OCR_ALWAYS", "false")
|
||||
# skip. redo, force
|
||||
# TODO: validate this.
|
||||
OCR_MODE = os.getenv("PAPERLESS_OCR_MODE", "skip")
|
||||
|
||||
# GNUPG needs a home directory for some reason
|
||||
GNUPG_HOME = os.getenv("HOME", "/tmp")
|
||||
|
||||
@@ -1,23 +1,14 @@
|
||||
import itertools
|
||||
import os
|
||||
import re
|
||||
import subprocess
|
||||
from multiprocessing.pool import ThreadPool
|
||||
|
||||
import langdetect
|
||||
import ocrmypdf
|
||||
import pdftotext
|
||||
import pyocr
|
||||
from PIL import Image
|
||||
from django.conf import settings
|
||||
from pyocr import PyocrException
|
||||
from ocrmypdf import InputFileError
|
||||
|
||||
from documents.parsers import DocumentParser, ParseError, run_unpaper, \
|
||||
run_convert
|
||||
from .languages import ISO639
|
||||
|
||||
|
||||
class OCRError(Exception):
|
||||
pass
|
||||
from documents.parsers import DocumentParser, ParseError, run_convert
|
||||
|
||||
|
||||
class RasterisedDocumentParser(DocumentParser):
|
||||
@@ -29,6 +20,7 @@ class RasterisedDocumentParser(DocumentParser):
|
||||
def __init__(self, path, logging_group):
|
||||
super().__init__(path, logging_group)
|
||||
self._text = None
|
||||
self._archive_path = None
|
||||
|
||||
def get_thumbnail(self):
|
||||
"""
|
||||
@@ -74,113 +66,67 @@ class RasterisedDocumentParser(DocumentParser):
|
||||
|
||||
return out_path
|
||||
|
||||
def _is_ocred(self):
|
||||
|
||||
# Extract text from PDF using pdftotext
|
||||
text = get_text_from_pdf(self.document_path)
|
||||
|
||||
# We assume, that a PDF with at least 50 characters contains text
|
||||
# (so no OCR required)
|
||||
return len(text) > 50
|
||||
|
||||
def get_text(self):
|
||||
|
||||
if self._text is not None:
|
||||
if self._text:
|
||||
return self._text
|
||||
|
||||
if not settings.OCR_ALWAYS and self._is_ocred():
|
||||
self.log("debug", "Skipping OCR, using Text from PDF")
|
||||
self._text = get_text_from_pdf(self.document_path)
|
||||
return self._text
|
||||
archive_path = os.path.join(self.tempdir, "archive.pdf")
|
||||
|
||||
images = self._get_greyscale()
|
||||
ocr_args = {
|
||||
'input_file': self.document_path,
|
||||
'output_file': archive_path,
|
||||
'use_threads': True,
|
||||
'jobs': settings.THREADS_PER_WORKER,
|
||||
'language': settings.OCR_LANGUAGE,
|
||||
'output_type': settings.OCR_OUTPUT_TYPE,
|
||||
'progress_bar': False,
|
||||
'clean': True
|
||||
}
|
||||
|
||||
if not images:
|
||||
raise ParseError("Empty document, nothing to do.")
|
||||
if settings.OCR_PAGES > 0:
|
||||
ocr_args['pages'] = f"1-{settings.OCR_PAGES}"
|
||||
|
||||
if settings.OCR_MODE == 'skip':
|
||||
ocr_args['skip_text'] = True
|
||||
elif settings.OCR_MODE == 'redo':
|
||||
ocr_args['redo_ocr'] = True
|
||||
elif settings.OCR_MODE == 'force':
|
||||
ocr_args['force_ocr'] = True
|
||||
|
||||
try:
|
||||
ocrmypdf.ocr(**ocr_args)
|
||||
# success! announce that we have an archive document
|
||||
self._archive_path = archive_path
|
||||
self._text = get_text_from_pdf(self._archive_path)
|
||||
|
||||
sample_page_index = int(len(images) / 2)
|
||||
self.log(
|
||||
"debug",
|
||||
f"Attempting language detection on page "
|
||||
f"{sample_page_index + 1} of {len(images)}...")
|
||||
except InputFileError as e:
|
||||
# This happens with some PDFs when used with the redo_ocr option.
|
||||
# This is not the end of the world, we'll just use what we already
|
||||
# have in the document.
|
||||
self._text = get_text_from_pdf(self.document_path)
|
||||
# Also, no archived file.
|
||||
if not self._text:
|
||||
# However, if we don't have anything, fail:
|
||||
raise ParseError(e)
|
||||
|
||||
sample_page_text = self._ocr([images[sample_page_index]],
|
||||
settings.OCR_LANGUAGE)[0]
|
||||
guessed_language = self._guess_language(sample_page_text)
|
||||
|
||||
if not guessed_language or guessed_language not in ISO639:
|
||||
self.log("warning", "Language detection failed.")
|
||||
ocr_pages = self._complete_ocr_default_language(
|
||||
images, sample_page_index, sample_page_text)
|
||||
|
||||
elif ISO639[guessed_language] == settings.OCR_LANGUAGE:
|
||||
self.log(
|
||||
"debug",
|
||||
f"Detected language: {guessed_language} "
|
||||
f"(default language)")
|
||||
ocr_pages = self._complete_ocr_default_language(
|
||||
images, sample_page_index, sample_page_text)
|
||||
|
||||
elif not ISO639[guessed_language] in pyocr.get_available_tools()[0].get_available_languages(): # NOQA: E501
|
||||
self.log(
|
||||
"warning",
|
||||
f"Detected language {guessed_language} is not available "
|
||||
f"on this system.")
|
||||
ocr_pages = self._complete_ocr_default_language(
|
||||
images, sample_page_index, sample_page_text)
|
||||
|
||||
else:
|
||||
self.log("debug", f"Detected language: {guessed_language}")
|
||||
ocr_pages = self._ocr(images, ISO639[guessed_language])
|
||||
|
||||
self.log("debug", "OCR completed.")
|
||||
self._text = strip_excess_whitespace(" ".join(ocr_pages))
|
||||
return self._text
|
||||
|
||||
except OCRError as e:
|
||||
except Exception as e:
|
||||
# Anything else is probably serious.
|
||||
raise ParseError(e)
|
||||
|
||||
def _get_greyscale(self):
|
||||
"""
|
||||
Greyscale images are easier for Tesseract to OCR
|
||||
"""
|
||||
if not self._text:
|
||||
# This may happen for files that don't have any text.
|
||||
self.log(
|
||||
'warning',
|
||||
f"Document {self.document_path} does not have any text."
|
||||
f"This is probably an error or you tried to add an image "
|
||||
f"without text.")
|
||||
return ""
|
||||
|
||||
# Convert PDF to multiple PNMs
|
||||
input_file = self.document_path
|
||||
return self._text
|
||||
|
||||
if settings.OCR_PAGES == 1:
|
||||
input_file += "[0]"
|
||||
elif settings.OCR_PAGES > 1:
|
||||
input_file += f"[0-{settings.OCR_PAGES - 1}]"
|
||||
|
||||
self.log(
|
||||
"debug",
|
||||
f"Converting document {input_file} into greyscale images")
|
||||
|
||||
output_files = os.path.join(self.tempdir, "convert-%04d.pnm")
|
||||
|
||||
run_convert(density=settings.CONVERT_DENSITY,
|
||||
depth="8",
|
||||
type="grayscale",
|
||||
input_file=input_file,
|
||||
output_file=output_files,
|
||||
logging_group=self.logging_group)
|
||||
|
||||
# Get a list of converted images
|
||||
pnms = []
|
||||
for f in os.listdir(self.tempdir):
|
||||
if f.endswith(".pnm"):
|
||||
pnms.append(os.path.join(self.tempdir, f))
|
||||
|
||||
self.log("debug", f"Running unpaper on {len(pnms)} pages...")
|
||||
|
||||
# Run unpaper in parallel on converted images
|
||||
with ThreadPool(processes=settings.THREADS_PER_WORKER) as pool:
|
||||
pnms = pool.map(run_unpaper, pnms)
|
||||
|
||||
return sorted(filter(lambda __: os.path.isfile(__), pnms))
|
||||
def get_archive_path(self):
|
||||
return self._archive_path
|
||||
|
||||
def _guess_language(self, text):
|
||||
try:
|
||||
@@ -190,30 +136,11 @@ class RasterisedDocumentParser(DocumentParser):
|
||||
self.log('warning', f"Language detection failed with: {e}")
|
||||
return None
|
||||
|
||||
def _ocr(self, imgs, lang):
|
||||
self.log(
|
||||
"debug",
|
||||
f"Performing OCR on {len(imgs)} page(s) with language {lang}")
|
||||
with ThreadPool(processes=settings.THREADS_PER_WORKER) as pool:
|
||||
r = pool.map(image_to_string, itertools.product(imgs, [lang]))
|
||||
return r
|
||||
|
||||
def _complete_ocr_default_language(self,
|
||||
images,
|
||||
sample_page_index,
|
||||
sample_page):
|
||||
images_copy = list(images)
|
||||
del images_copy[sample_page_index]
|
||||
if images_copy:
|
||||
self.log('debug', "Continuing ocr with default language.")
|
||||
ocr_pages = self._ocr(images_copy, settings.OCR_LANGUAGE)
|
||||
ocr_pages.insert(sample_page_index, sample_page)
|
||||
return ocr_pages
|
||||
else:
|
||||
return [sample_page]
|
||||
|
||||
|
||||
def strip_excess_whitespace(text):
|
||||
if not text:
|
||||
return None
|
||||
|
||||
collapsed_spaces = re.sub(r"([^\S\r\n]+)", " ", text)
|
||||
no_leading_whitespace = re.sub(
|
||||
r"([\n\r]+)([^\S\n\r]+)", '\\1', collapsed_spaces)
|
||||
@@ -222,29 +149,14 @@ def strip_excess_whitespace(text):
|
||||
return no_trailing_whitespace
|
||||
|
||||
|
||||
def image_to_string(args):
|
||||
img, lang = args
|
||||
ocr = pyocr.get_available_tools()[0]
|
||||
with Image.open(img) as f:
|
||||
if ocr.can_detect_orientation():
|
||||
try:
|
||||
orientation = ocr.detect_orientation(f, lang=lang)
|
||||
f = f.rotate(orientation["angle"], expand=1)
|
||||
except Exception:
|
||||
# Rotation not possible, ignore
|
||||
pass
|
||||
try:
|
||||
return ocr.image_to_string(f, lang=lang)
|
||||
except PyocrException as e:
|
||||
raise OCRError(e)
|
||||
|
||||
|
||||
def get_text_from_pdf(pdf_file):
|
||||
|
||||
with open(pdf_file, "rb") as f:
|
||||
try:
|
||||
pdf = pdftotext.PDF(f)
|
||||
except pdftotext.Error:
|
||||
return ""
|
||||
return None
|
||||
|
||||
return "\n".join(pdf)
|
||||
text = "\n".join(pdf)
|
||||
|
||||
return strip_excess_whitespace(text)
|
||||
|
||||
Reference in New Issue
Block a user