API Documentation

Request URL

post
https://titipakorn.xyz/ocr/api/predict/ocr_detect

Request parameter

Text
Name
Type
Description
Name
Type
Description
Required
image
Image

Return Values

Name
Type
Description
label
String
infer_time
String
message
String
status
Integer

Sample Request

cURL
Python
1
curl --location --request POST 'https://titipakorn.xyz/ocr/api/predict/ocr_detect/' \
2
--header 'Content-Type: application/json' \
3
--data-raw '{"image":"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"}'
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import requests
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import json
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url = "https://titipakorn.xyz/ocr/api/predict/ocr_detect/"
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payload = json.dumps({
7
"image": 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AE3JIVFWnphknCj5Yc5yFaH2uodIY8DPzTKe0yBpOQcKNyZa7FTqYDjIao2eEnI9Vb5LPNKx0oI5QcJhUWUtYXOPUeSTkikU6aENJ5kynh5yS5vyVrns5bjO+fQdEznsmXANzv7KNyCmaPxhuzW7nzShZyjOBheoWxnwjYr6WHOCeq4qs60kMLi5rIebCr8v9ISGtycqwXZjSwNx0UQ+NkYLgCCmrRNDIeB4LdnBZs0Zc21lngyfEwBp91hktYTzcnXqrrw/ujmVJoXPw0jLfmtISoiUO3YumuLKNR6XuVmDQTV074xn1I2+9aNT9n/tCQvkjtNDXRxRkhoireTIzscZW/Am54gD5IhJ5th1V9n5M+6NAHcF+1JStBZSag2H5lfn+KWPDrtRwwhxt2qSWjq2pyf3roGw8ruUdEtG8NOC7Cblj4GmznpR2btW0Epc6g1eWEbDmLkpLdO1TSPzHHq5rW+Riz/BdEo5Wloy8/alGuYNzulePgtSZzwdrrtOwwjlm1I1+ejqQk5+xLUPGLtM0MDo5qu9h3lz29xz9y6Ic0ThuGnfzCVY6JzcGOMgdPCFm442WptHOcdoLtOQzgTS3IRg43tbs/uS83aX7SFN4hV1AAP51rP4LosynpHnmfTQn5sC+soLW4EyUFM7PUGFu/wBynbiFumznXH2te0fT4BkheMdH2t2UvD2xuP0BxUQUY88uoHjJXRFtnsTj47PQn0zTs/BfX6b0zLvLp+3PPTxUrD/BFYuSlKXBz7Z23eOMDg00FrORvzUr+qkqHt2cYeUsntNpe4dP6N4z7LfL+ROiJjmXSlpcfekZ+C9N4fcP3jx6Nsx/5Jn4KGochvfBovF2/uLkMobJpWyFmcf5wFSX+MH4jQAA6QtMmfSV4W6p4V8MpMl+hrI5zjkn4Rn4JR3B3hPNGM6BsbsbH+qN/BLbB+xb3wabU30iOvGw5k0LbOcfm/Eu3+5OaH6SHWcsndycO7eMbZFYf3YW4A4FcG5gHP4eWTm9RTgJRvZ+4JSNDJOG1k+fw4z9qpY48lKd+jUV/wBJVqankEbuG9IcbEtrjufsUi36Sq8xRc54axEkZ/775/YtqR2auBE5OeGtmGfSJLt7LPACYAP4b2vHs0hS4L0w316NVYfpPbozmEvDDZu55a0Z+9P4/pRnNja7+bGpcfMCratnD2SuzzL14cW8j9a9nsf9nOUAHhvQN9eVxGULGl7DeuDXCg+lKopHES8MK9vQZ+JaVsD2WeNcXHnWOpdURWaS3Clt1NTiKRwc765OcqQZ2K+ze/BGgIWY/Rlcsh8MuCvD7hFLX1OhbdLRflCNrJ2F/M1wacjqplGmu4KS8GQpGzj6jOYeqhqTkN4BErHScxBbzjIUzDWNIDHtcM+yjaLh9p+O7i8xGobUd53u8hxzZz0UyfBPb2St204y8QxtfJyOYcg4ypDT9iitEXI0lzvUhSMcQxvulmjHRdWCL3WYTnaoD1QhC9AxBCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAFEaluDLTbpLpJE6RtOCXNb1PspdQ2qbnBa6GGSrphNTyzshkBGwDjjP2qZd1Q4va7Kvoen1PqKvdqnUcTaOjwRRUON8fpv9/RWXV+qKXRdinv8AV0c1RDARzthGXYJ6qaDQ0crRsNgPJReqrQ2+6dr7S7B+JgewZ9cbKY41FDlkc3ZhOv7Y+jqKQxDTN2cR/qtCjZO2xp4HEOj69xz+c9oWANfWp1qr5oCzxNe5pGOhBxhY9rKiZo5CwAg9Vp0ZyVkN9rNsqjtw0UbiI9DVGB+lOFFydueqlcWwaFa0+RkqFqZU1NQw+F+xTKSaUeLnwpemycijNM2z/wANnUVRP3VLoihDiccxnJTut7V2qoYQ82O1sc4ZwCThaiUlzmpX87HeM+a2E4N9n69cYNHy6rGpIKKNkz4Yoiwue97f0vIBZS08/JvHbdNmVWcSePNwszL3SWKxMpJYu+Hj8fJjOeVVz+fHXc8b+/qKKJ7dnNEPQppazr+jiqNDRMndc7Y0xvptgXMHQtz1CnrZ2an36zC5XHVNXRXGeMyTU4hBax5ztlU9BmcVJGingjabMV6t7RnEmgc6OjuFISD5QjoquztN8QpY3CvvscT/AM3khAV7v2lKDhrR1NovNFDWMk5sVckQJk9gT0Wr+tW283mb8lc7YHOyGu/N+Sa0GSPeQpOEv8DMishDXbHdKtjOdwlBGG7hKsjd1xkLgTNLIm6UzpWZA6KGdFI48rgrhJCw5aRn9SZyWnvHlzW4CTkxlclpT3ewRbnT0FSyaPIwVNy2qTl5RsEkKF0Y5NnJW0Ui4UF/gdEHOlHMR0JT5l+pWnDqhgOPVRWitKUN4ld8dC5zG+jiFPat4eafp20vwIdBO8EuJcTkIeVJWxbG/Aj+XqRvKRUtOfdOYr7Rkj+sxk+fiVZ/kHA48nx/2FKt4dRZ/o61xJ90uqn7BYpItjLvTPwRO39oJWO8QlxDZg4D3VXi0A+MgNq38vnuUq3h/VNPPFWO3Pk4qHkXJosbLZHdacjeRo39UvFc4mnBkG6qP839wwHi4Obg+biljoO4Z8NzkJHTcpb1yJ42XBl2j6BwKcR3NvUuG6prNB3gjMd2cPm4paLh9qL67buXY6DnKjf8gsZb23OMvHi+SeNr2YyX/qVLboHUXOC66P2O3iTlvD7VQfzMu2RjYF+6TZewuDbkzqH7Y9Uq27s6B4J9lThoLWD3crLpj5vXoaB1vGOVlxBOM7PS3oNpeoLo1zd3AJ7FdIevMNlQINDa/cAfyh9Xr4gnzNCcRxju6uJwPlzDKhzY9heormxw2d96eQXEHbmCx9LpfiTboXVdU5jII93u2OBlZZo+DN5+Birn6sg8cTZSHwkAZAO5TTb9kyW2hrFXEbjf1T6K4Bo8Xn6rIdt4c6bFup21FOZJe6bzyNefEcbkL5ceHOnm0jzTxSsftg94VusT27vgy6sG6KLDcm5wXJ3Hcm4xzKbboG3ZAEkwH+0nLdBWxu7amf8AWQsFkTNK5IqnuQAwXp/Bc28vKCCE+boeh5eVtXMPfCUj0PRjBbcZv2Qnv4JbgjzT17MgbKUpLhE53LkJBmjoWbtr5f2QnEWlhC7nZWvPzatYKUvBm5wJinmbIAAQl8bZTGntzoMHvyceyfDZuCclehp1JeTmnV9gQhC6yAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABQmtKF1w01XQN3cI+9b827j9ym15ljbLE+Jwy17S0/IoAY2Cu/KVkoa4uyZYGuJ98b/epDAIwQobStsqbNazbKg5bBM8ROz1jJyP3qZSXgDTPtEaXNu1lWhkfLFMROzbbBG/3rBFxtVU9zhDC6QjrytJI+xbyce9BV2p6akuFpt0lVUx5ie2MZPL1BUjwX4fWXT+ko46/T8TblKXGqdUQAvOTsN/JdEc0YxobhcbOeFZaqmDD5WnOM4K96R0ReeIOp6TStiZF8ZWOIY6V/KxoAySSty+0NwHbfzFetE2Fz6yQ93PBTxhrS39L0VO4e9krW1tuNs1PWXqitc0ErZjAA50rG53BI2z7K+pGSFHCkrsx7fOxpxSstE6vYLZWiJpc5kE/iOB5A9VZOzLxUdwtv79E6la+ntVznwXS+H4Wo6ZOfI9CtiqS6cRr1e6ihs9pggt1IXRNrKppAlc3YkDruVhvVvArW3EXW1VBdaCC0SlhcyqZGXU8xG+5HQla4ZY5fpy+DPPjklcPJnzUZ0VdnPvdDdrVHcomcsdYJmgj2JzuFWGX68MtxdFerRVzl/K74ecFob6/Na8X3s3cXLBigbTR1lC5wHfU8pLWj1cOoAWXtI9lPRNLpKJ+oblX1FwmZ3kstPVOjY0nyDfZejCWn02NOU7/4PInhzZ52lRQ+MuqqfXQfw50pZJbveYnCSSeEhzInjqM/vK1n1fwi17p6ugbqSwTUclY/ELn45SfTPQLa3S+m6vhHe7m61WOaoo5htVP8UvL6e6geJmoLtrmy1tuis9XPIW80HLA4Fjh5oz63FJbII9LTaLNBXIww2FzvZehI+N/J5L2HluBhe+6Dh5ZXxipnq0AeDgtaCSlRuTgFJthIBAPySkb3sbyu6qqGHdknkc3Yr3HbonHLmJRpbK5rsp7TR948NA81lN0gjbZcdFW5sNOAxoHMfRYF7UWvbxp7ie20W64y09M2ghIa04HNvlbK6VpnRthiHUjPRab9s9zxxUlc3GW0UR/evNz249jqwun3K/FxO1HI8Fl9qWn/AGk+ZxS1bFszUFTjzwVhilvLQAH5BCm4bsx4HiwE44G4mzyK/BlOLi5rWnyW6iqxnoHYKWh4069G7dSy7dByBYwFzhe0Anp5heoZ2FxIduem6tYPkXVXBlCXjlxGDC1uoySOgMQwmw4/cTonf+Zm7eToWrHoqW5PMNk2mdFId0nhXpg5xZk5/aN4o5wNQxY9PhxulWdpPim3wtvkIx0zAFiF3K3OTvnZeXTuABB6dUvt3yTuS8IzY3tQ8VQ0Nfd6QEDAPw4TmPtVcVKc8xuNvfj9Kmz/ABWCe/LjuV6EgxnfCn7aXJalH2jPrO1rxScRmotnMfMU+P4pRna74oRPPNJa3+3cH8Vr/JMzAJeQD5pMyMzzBxOU/tpP2PdBejZJnbK4nRAubDaXbdO6I3Xql7bHFKKUufR2Z4HrGQtaw4NaeV5wke8Jds8j9af2s/5B1I8G3Fv7ZmvNU1VNp25Wqzw0ldURQzSR8we1pcAStg+KvHmr1A6DRmk6h0FuY+KGeoacPqCMDA9G/vXOPRMD6rVNqjEhI+KYeX13W2NjgM+prTTPJPPXQj/7hcmaE8cX3KW2bTo6PWaPurTRRE5LKeMfY0KF4j6iOldJ1eoHU8s0FEBJP3Qy5sYO7seysMLRHDGwfmtAUXrURnRt8MzWujFBPzBwyCOQr1sac4PGn6/8PGTSnfya+N7YvDmBzWOZcHg/n91sfkpGm7ZHCh55Xy1rfXMK5e195re+cG1s2A93Lh2wGV5ZfK8NB+Olz6cy8LDi1cldo9mfQfY6oR9sPhA0+O4VTR7wFSMHa74KPGX32aMYG5p3fYuUUd7r8Y+MkPsSvYvlxxk3CXrnHNsF0LFq4mUsWB+zrLD2s+CUg8OpnDHkYHBSEPaf4LTMDhrGBuejXMcD+5ciJ9RXBp759xmHL5ZTCXiDU0mHC5Sk/PdVHJrcfijP7fTv2dkIu0lwZl6a2o2/7WQlR2jOC52/l9bB/eLjHUcWbh8EYvjn8xJwcbqsScRrv3riK155j4j6rux6j6hXeKMnp9OvZ3Kg7QHByocGR8QLTk+RmAUizjDwuk+pruznP9pauEtRxDvcs3eRyuZ4cZBK9fzgXx5P9dfznz5ui6FqdcvMUZvBgfiR3dbxX4avPK3XFnJ/3pv4pzDxD0NUECHV1peT6VTPxXC61cTrzQxgmZsjhnIeE+ouLVydUnvnBud8g9FT1eqS7wX/AGJafE/7jue3Vml3jLdRW05/tLPxT6kr6KvYZKGrhna04Lo3hwH2LinY+J1fcHlkVUwu/NaXHZdUuy3SUVLwnsklK3+lq6VtRUv5i4vkPUkqMP1LLkzrFOFX8hk0kYY96ZmPG+EEDGUeZK8sdzNJ9yvWcqaRxHxz2sBc5wAHmThJ/GUucfExfthI3eghulsqaCbm5Zo3NODgjI8iuXHFPXmrNMaruVsiuVx5KWqliBFY9v1XEeq5NVq3paSjdm+HB1r7nU8VFOek8Z+Tgj4iAdZmftBciI+NOsY4wRdrkT5j41/4r3Jxw1c0Zju90cfT41/4rn/JT/gdC0V+zrqJ4enfM/aCO9j/ANI37QuQZ49a0a3nN3ujflWvyPvSJ4+65Aa2PUV3znfNa/b71nL6rKP7bKWgX8zsH3kf6bftX3nZ0Dhn5rkAOP2vWEE6jvAB8xWv/FfHdoviA1wa3Ut6Hq4VrlP5iX+Ww+wX8zsBzDPUfavuR6rkEO0jxCa7lGrb2NuoqylW9pjiG04/ldfMf74d1L+szX7bH+Pv+9HXfmbkbgr7z+y5CP7UXEUOBj1besDrmpKVb2quIAYIzqm+58z8SVH5fI/22N/Tv9aOuhf5YXznwuRbO1jxBbzF+q7+0tP/AKnqpSz9qrXdxuFNbzq+/MNTMyFrnTeEFzgAfvXLm+s5ILc4Mcfpzl23I6xNIcASggHqFC6Ntk9o0tbbfU3CWumip2B9RK7mdK4jJcT8ypSpe9sL3s+s1pI+a9qGqfSU5LhnnuPdxQsGAANAwPZeZdonbnoobTGojfIn87AySPZwB8/NTUgBaR7YVx1SzYt2MHBwlUipVtdJFK4Ne/Hoo113DMxuO3phac9pribxF4Za+rKCh1RcKelne6WHl3aAT0Cwi7tTcTfEz+WNaT7sGV87P6hqdzikz24abGoqXJ0nqbrER4g0keo6KMqr3SRMPIGA+wC5zntU8RMf02q64uA3PK3deP8ACj4ikjGpZ3D/AFomlQtZqH6Zp0oVVmTXQStHK2M5AXuKCVw+qQVfo7VRE7wjcJ1BaKAD/IhfRbaPH3GPW08zSPCcL0KZ/OHFp3WQvyNQNJxD1X0WegIwYUmmJzKJHS4GzDlP7VSyPqo2YIBPorjT2igyR3SWFso4XtfHHg5WOXwXCVssWn4GRjmB+o3ZaR9r5wn4o1hyC4UcQH3reezRtFBJIB4sLRftWgHilWZGf6pF/FcGTwdONfqNZZZHQ1BY5O6W4HIbzY8lF3VxFU8g/nYTeF7wM8xyvRxwTiDl3LfDWlnhBBBTqCuwfEcKqRzSENaXJ82R/I05R0xp2WL8o4dgnK+PrXFwDdwfuUI2Z4b1X34iXvAObZQokMlZa0YxynY9UhLWEDcdUy76RwJLt0Oy7BccqtpUXQ5bXPYfNLOuLiwcw69MKOB8a9knbfqUbUJyY8+O5m4ePkj4phI8WNkxeTzNHuvMhycKlFCbbHz6xjcuLsr4KxhIwCo/lDtivUJPNjOwT29hKRkPhQ5s+vLPAP8ATF+fkMrbrQtM64cQdOQt+q64w5+QctSeBsEcmv6F7hlzY5SD74W4vCVjTxR0ww/V+OYcfJeZqvFHVDwdB2vBdhV7idUik4balqXHaO11Lv8A8ypphPOfmqhxzkfHwX1lIw4cLNVYP92V16d/qf8AszypRqSRxelLHNa8jqMpDlAzyO3PXK+5PdR//G39yTHic0HzO6vSR/po7cqqQpkM3LwCB6phXXqmpG4MrT57KG1HX1MMssMb8NGwVVqKmZ0TS55J9SuyGFSOdzZY7xrA1EJhpm8uBglVplXU1kuACSm0AEkuHKetNLDH42t3yuqGJGTmzxDYaqohfM9/JjAwUs/TZp28xeHcoyVLzzvw1gwB7BJwzyVDnNkOQditljRLZ7pqClFHFGYA5zxuVLUemLZLNFJLTNa0Dxb9UlCxrTGwDYNT6plfHWQwNceQtbt81VIlsXp9G2W5Sua2P4fnPdh+enupHVfZ+rbNRR3K1XIvp+4M0j5MYz5Aey807Gulp2HPKZASM9VfdTX24VMVRbnyNFO2GOJrGjADQNgiUIv0TuaNf2014s87nd29rWeFz29MrZXs29uvW3BV0FpvdG6/WBoLHQuk5ZWDy5CfRYqnhiNI4FgIeTkFYwurRDUzRx+FrXkAey83U6OMmpx7M3x5e1PwdfOG30h3CjiBX22yvpZ7bcrk/uxFM4ckZz+c5bM6cvNHfLcK+hlD4nPcAfkV+ea2VtXSVDKmmqHxyxPD2OacEEHZdFOwlxz4iVVTJpmvurKyhd4w2oaXOafUHK86Ooz4c1ZXaNZ4YShugdGSNiFyc7TdDJTcUtRRHbluExx7E5C6vwSukhZK7GXNBOFy77YEMcHF/UIjGOacOPzLQu3VtTUZfJGk7SaMDuLsNYD0SbiWuwDg/vXhsr3OIONl9a8uLsoUUdDbsQnJ+sceyY87t3Ab5TmQkZKQA3HuhxTJc5H11RJIwN6EJNw6Eu+a9loEg90i55bNyjGCVnsRcZM8yYyQ13VJHLRgOz7pSXwvICSxkk5Krpoe4Sfkb9V4ke5jQ4Z/WvTyUg5xc453wk4olyZ6MhkjPNsnloqW0VdS1vNvTVEUoHryuBUW57g4jOyWp3FwOfRcurxRlilaNMEnuR3W0Ndor5oyy3aF2WVVBBKP1sCl3bggrEnZNuNXcuAGkp6yUyPbQtjyfQHAWWSfFj3Snm3YYv4OGcds2kUzSrhQajr7eTgd87lHsd1eCcn5rHj3Og1/J3Zxzljj81kEkghc+inthKHya6pW4y5Ron9IhpsiS3X9jcNjeGuPqHbfvC0Jlla17vF5+q6g9vK3UlZwvlnnj5nxt5mn0IIwuWVR/l3t8s5XVjxxlN2bxm3iXwKOmBOcle3TNDW5O6aB5ILTjGUjK93NjK6tiM3Jn//Z"
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})
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headers = {
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'Content-Type': 'application/json'
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}
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response = requests.request("POST", url, headers=headers, data=payload)
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print(response.text)
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Copied!

Sample Response

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{
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"label": "",
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"infer_time": "0.111",
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"status": 200,
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"message": "success"
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}
Copied!
Last modified 1mo ago