OCR.chat API

Talba HTTP waħda tibdel immaġni jew PDF f'test sempliċi, Markdown, tabelli, u JSON — f'100+ lingwa.Imkejla għal kull paġna, l-ebda sorpriżi.

Ħarsa ġenerali

The OCR.chat API is a small REST interface. You POST a file and get back a job with the recognized text and a per-page breakdown (text, bounding boxes, confidence). Jobs of 5 pages or fewer return inline; larger jobs return immediately with a pending status that you poll until done.

  • Base URL: https://ocr.chat
  • Formats in: PNG, JPG, WEBP, GIF, BMP, TIFF, and multi-page PDF
  • Formats out: txt, md, docx, pdf, csv, json
  • Engines: cpu (fast, printed docs) and vlm (premium AI, handwriting, complex layout, math)

Awtentikazzjoni

Authenticate with your API token (find it on your account page) as a Bearer header:

Authorization: Bearer YOUR_API_TOKEN

You can also pass ?api_token=… as a query parameter. Usage is metered against your account's page balance.

Ippreżenta dokument

POST /api/v1/ocr/, multipart form upload.

curl -X POST https://ocr.chat/api/v1/ocr/ \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -F "file=@invoice.pdf" \
  -F "tier=vlm" \
  -F "language=auto"

Returns the job. For ≤5-page files it is already done with the text; larger files come back pending/processing, poll the status endpoint.

{
  "uuid": "9f2c1b7e4a...",
  "status": "done",
  "tier": "vlm",
  "language": "auto",
  "page_count": 1,
  "mean_confidence": 0.98,
  "text": "INVOICE\nAcme Corp\nTotal: 215.00 USD",
  "markdown": "# INVOICE\n\n**Acme Corp** ...",
  "pages": [ { "index": 0, "text": "...", "blocks": [ { "text": "...", "bbox": [x0,y0,x1,y1], "confidence": 0.98 } ] } ]
}

Ikseb riżultat

GET /api/v1/ocr/<uuid>/, poll until status is done or failed.

curl https://ocr.chat/api/v1/ocr/9f2c1b7e4a.../ \
  -H "Authorization: Bearer YOUR_API_TOKEN"

Niżżel format

GET /api/v1/ocr/<uuid>/download/?format=md, export the result. format is one of txt, md, docx, pdf, csv, json.

curl -L "https://ocr.chat/api/v1/ocr/9f2c1b7e4a.../download/?format=docx" \
  -H "Authorization: Bearer YOUR_API_TOKEN" -o result.docx

Chat ma'dokument

Staqsi mistoqsijiet dwar xogħol lest. It-tweġibiet huma bbażati biss fit-test estratt u jikkwotaw il-paġna sors. Jeħtieġ token kont — il-karatteristika chat huwa kont-gated.

POST /api/v1/chat/<uuid>/, JSON body {"message": "your question"}.

curl -X POST https://ocr.chat/api/v1/chat/9f2c1b7e4a.../ \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"message": "What is the invoice total and due date?"}'

Jirritorna l-messaġġ assistent bit-tweġiba tiegħu u lista ta' paġni ċċitati:

{"conversation": "a1b2…", "message": {
   "role": "assistant",
   "content": "The total is $42, due on March 3 (p. 1).",
   "citations": [{"page": 1, "snippet": "The invoice total is $42…"}]
}}

GET /api/v1/chat/<uuid>/history/, iġib it-tranżmissjoni sħiħa tal-konversazzjoni għal xogħol.

Eżempji ta’ kodiċi

import requests, time

API = "https://ocr.chat/api/v1/ocr/"
H = {"Authorization": "Bearer YOUR_API_TOKEN"}

# Submit
with open("invoice.pdf", "rb") as f:
    job = requests.post(API, headers=H,
        files={"file": f}, data={"tier": "vlm"}).json()

# Poll until done
while job["status"] in ("pending", "processing"):
    time.sleep(2)
    job = requests.get(API + job["uuid"] + "/", headers=H).json()

print(job["markdown"])

# Download as DOCX
r = requests.get(API + job["uuid"] + "/download/",
                 headers=H, params={"format": "docx"})
open("result.docx", "wb").write(r.content)
import fs from "fs";

const API = "https://ocr.chat/api/v1/ocr/";
const H = { Authorization: "Bearer YOUR_API_TOKEN" };

const form = new FormData();
form.append("file", new Blob([fs.readFileSync("invoice.pdf")]), "invoice.pdf");
form.append("tier", "vlm");

let job = await (await fetch(API, { method: "POST", headers: H, body: form })).json();

while (["pending", "processing"].includes(job.status)) {
  await new Promise(r => setTimeout(r, 2000));
  job = await (await fetch(API + job.uuid + "/", { headers: H })).json();
}
console.log(job.markdown);
# 1. Submit
curl -X POST https://ocr.chat/api/v1/ocr/ \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -F "file=@invoice.pdf" -F "tier=vlm"

# 2. Poll  (use the uuid from step 1)
curl https://ocr.chat/api/v1/ocr/UUID/ \
  -H "Authorization: Bearer YOUR_API_TOKEN"

# 3. Download
curl -L "https://ocr.chat/api/v1/ocr/UUID/download/?format=md" \
  -H "Authorization: Bearer YOUR_API_TOKEN" -o result.md

Parametri

FieldTypeDescription
filefileRequired. The image or PDF to process.
tierstringcpu (default, fast/printed) or vlm (premium AI: handwriting, layout, math).
languagestringauto (default) or a language code (en, ch, ja, ar, …).
toolstringOptional tool slug (e.g. extract-tables, handwriting-to-text) to apply that tool's preset.
translate_tostringFor the translate tool, target language code.

Żbalji & limiti

CodeMeaning
400No file, unsupported type, or file too large.
401Missing or invalid API token.
402Out of pages, daily/monthly free limit reached, or no credits. The body includes used/cap.
404Job UUID not found.
409Download requested before the job finished.

Each page processed costs credits (1/page on the fast tier, more on premium). Paid plans raise per-file page caps and add priority. See pricing.

Mistoqsijiet li jsiru ta' spiss

Create a free account and open your account page, your token is shown there with a copy button.

Yes, files of 5 pages or fewer return the full result inline in the POST response, so no polling is needed for most images and short PDFs.

Over 100, including Latin, CJK, Arabic, Cyrillic and Indic scripts. Use language=auto to detect, or pass a specific code.

Uploads are processed for OCR and deleted automatically. We never sell, share, or train on your documents.

L-użu huwa mkejjel għal kull paġna kontra l-bilanċ tal-kont tiegħek: sejħiet anonimi jiksbu allowance kuljum għal kull IP, kontijiet ħielsa barmil kull xahar, u l-pjanijiet imħallsa jużaw krediti mixtrija b'kapijiet ogħla għal kull paġna tal-fajl u prijorità.Meta inti run out inti tikseb 402 bl użati u l-kap fil-korp.

Tista' tibgħat PNG, JPG, WEBP, GIF, BMP, TIFF, u PDF b'ħafna paġni.Riżultati tniżżel bħala txt, md, docx, pdf (tfittxija), csv, jew json permezz tal-parametru tal-format tal-punt aħħari tat-tniżżil.

400 huwa fajl nieqes, tip mhux appoġġjat, jew fajl kbir wisq; 401 token nieqes jew invalidu; 402 barra mill-paġni; 404 UUID tax-xogħol mhux magħruf; u 409 download mitlub qabel ix-xogħol jintemm.

A oġġett tax-xogħol mal-istatus, tier, lingwa, page_count, u mean_confidence, flimkien mat-test sħiħ u markdown.Il-paġni array breaks kull paġna fi blokki bit-test tagħhom, bounding kaxxa (bbox), u kunfidenza għal kull blokk.

Uża cpu (l-awtomatiku) għal malajr, bi prezz baxx għar-rikonoxximent ta' dokumenti stampati nadif.Uża vlm, il-magna AI premium, għall-kitba bl-idejn, kumplessi jew multi-kolonna layouts, matematika, u traduzzjoni, fejn huwa ferm aktar preċiż.

Pass għodda ma slug (per eżempju estratt-tabelli jew handwriting-to-test) biex japplikaw preset tuned dik l-għodda. Għall-għodda traduzzjoni, wkoll pass translate_to mal-kodiċi lingwa fil-mira biex tikseb it-test rikonoxxuti lura tradott.

Fajls ta’ 5 paġni jew inqas jiġu lura fil-linja fit-tweġiba POST. Fajls akbar jiġu lura immedjatament bħala pendenti jew proċessar, u inti poll GET /api/v1/ocr/<uuid>/ sakemm l-istatus isir jew ifalli. Pjanijiet imħallsa jgħollu l-kap tal-paġna għal kull fajl.

L-API hija REST sempliċi fuq HTTPS, u għalhekk taħdem minn kwalunkwe lingwa b'klijent HTTP — ara l-eżempji Python, Node.js, u cURL hawn fuq.M'hemm l-ebda SDK biex tinstalla; ftit linji ta' kodiċi HTTP standard huma kollha li għandek bżonn.