OCR.chat API

Àwọn ìṣàmúlò-ètò HTTP kan náà ń yi àwòrán tàbí PDF padà sí àkọ́lé àìdá, Markdown, àwọn àtòjọ-ẹ̀yàn, àti JSON — nínú àwọn ìtàn 100+ náà. Àwọn àwọn ojú-ìwé, àwọn à

Àwọn Àkọ́gbègbè

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)

Àwọn Àmì-ìwé

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.

Fi àkọlé pamọ́

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 } ] } ]
}

Gba àwọn àwọn àkóónú

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"

Àwọn ìṣàmúlò-ètò

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

Fi àkọlé pamọ́

Fi àwọn ààyè kan fún iṣẹ́ tí a tí ìparí. Àwọn àwọn à

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?"}'

Fi àkọlé àwòrán pamọ́ sí àwọn àgbèwọlé rẹ̀ àti àtòjọ àwọn ojú-ìwé tí a kọ̀ ní:

{"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/, gba àwọn àkọ́lé àwọn àkọ́lé fún iṣẹ́ kan.

Àwọn ààtòjú àwọn ìṣàmúlò-ètò

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

Àwọn Àtòjọ-ẹ̀yàn

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.

Àwọn Àṣìṣe & Àwọn Ìgbà Ìgbà

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.

Àwọn Àtòjọ-ẹ̀yàn

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.

Àwọn ìlòjóò ní pàtó ojú-ìwé ní pàtó àwọn

O lè fi PNG, JPG, WEBP, GIF, BMP, TIFF, àti PDF ojú-ìwé àìdálẹ̀. Àwọn àwọn à

400 ni fáìlì tí kò wa, irúfẹ̀ tí kò bá jẹ́ ìdáràn, tàbí fáìlì tí o jú ìwọ̀n lọ́wọ́lọ́wọ́ lọ́wọ́lọ́wọ́; 401 fáìlì tí kò wa tàbí tokè tí kò bá jẹ́ òótọ́; 402 inú àwọn ojú-ìwé; 404 iṣẹ́ UUID tí a kò mọ́; àti 409 ìṣàmúlò-ètò tí a bì láti sé ìṣàmúlò-ètò náà. Àwọn ẹ̀yàn àìpàdé àti àwọn à

Àwọn àwọn àkóónú iṣẹ́ ní àwọn ìṣàmúlò-ètò, ìpele, ìtàn, àwọn àwọn ojú-ìwé, àti àwọn ààyè-iṣẹ́, àti àwọn àkọ́lé àti àwọn àwọn àmì-ìwé. Àwọn ojú-ìwé àwọn ààyè-iṣẹ́ àwọn ojú-ìwé fún àwọn ààyè-iṣẹ́ nínú àwọn àkọ́lé wọn, àwọn àwọn ààyè-iṣẹ́ àwọn à

Ló cpu (ọ̀rọ̀ ìpèwọ̀n) fún ìṣàfarawé àwọn àkọsílẹ̀ àìpà-ìwé àìpa-ìsẹ́ tí a tí kọ́. Ló vlm, inú ìjánu-ìṣàmúlò-ètò AI, fún àkọsílẹ̀ ọwọ́, àwọn ààtò àìpa-ìṣàmúlò-ètò tí a tí ìbárá, àwọn àwọn ìṣàmúlò-ètò, àwọn à

Fi àwọn àwọn àtòjọ-ẹ̀yàn lọ́wọ́lọ́wọ́ lọ́wọ́lọ́wọ́ nípa slug (gẹ́gẹ́ bíi àwọn àtòjọ-ẹ̀yàn-ìṣàmúlò-ètò àti àwọn àkọ́lé-ìṣàmúlò-ètò) láti fi àwọn àtòjọ-ẹ̀yàn tí a tí kọ́ nípa àwọn àtòjọ-ẹ̀yàn náà. Fún àwọn àtòjọ-ẹ̀yàn ìṣàfarawé, fi àwọn àtòjọ-ẹ̀yàn_ìṣàmúlò-ètò lọ́wọ́ nípa àwọn àkọ́lé-ìṣàmúlò-ètò àti àwọn àkọ́lé-ìṣàmúlò-ètò àti àwọn àkọ́lé-ìṣàmúlò-ètò àti àwọn àkọ́lé-ìṣàmúlò-ètò àti àwọn àkọ́lé-ìṣàmúlò-ètò àti àwọn àkọ́lé-ìṣàmúlò-ètò àti àwọn

Àwọn fáìlì àwọn ojú-ìwé 5 tàbí àwọn tí kò jù lọ́wọ́lú nínú àwọn àkóónú POST. Àwọn fáìlì tí o jújú nígbà kan bí àwọn ààyè àti àwọn ìṣàfarawé, àtí ò fi GET /api/v1/ocr/ gbọ́<uuid>/ titi tí ipó náà bá jẹ́ ìṣẹ̀dà tàbí ìpàlẹ̀. Àwọn ìṣàmúlò-ètò tí a fi pamọ́ náà ń fi ojú-ìwé fún fáìlì kan.

API ní REST tí a tí gbọ́dọ̀ lọ́wọ́lọ