OCR.chat API

HTTP ajụjụ na-atụgharị inyogo ma ọ bụ PDF n'ime ngwe dị ọcha, Markdown, table, na JSON - na asụsụ 100+. Mepụtara n'ihu ọha, enweghị ihe a na-asị.

Nlekọta

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)

Nkwenye

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.

Dọkumenti ọfụụ

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 } ] } ]
}

Wepụta nsonaazụ

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"

Bubata usoroiheomume

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

Kpọọ na dọkumenti

Nwere ajụjụ banyere ọrụ e mechara. A na-echekwa azịza na ngwe ahụ e wepụtala nakwa n'ihuakwụkwọ isi. Achọrọ akaụntụ token - ihenhọrọ n'ụdị nchọgharị bụ akaụntụ-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?"}'

Na-eziga ozi ndịna na-enye ya nzaghachi na ndesịta nke ihuakwụkwọ ndị ahụ:

{"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/, Wepụta n'ime

Nhazi kood

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

Paramita

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.

Ndehie na nkwụsị

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.

Ajụjụ ndị a na-ajụkarị

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.

Ọrụ a na-emezigharị n'ime ibe n'ime akaụntụ gị: ozi ndị a na-agaghị akọwapụta na-enweta n'ime ụbọchị IP, akaụntụ n'efu na-abịa n'ime ọnwa, na-eji ego n'ime ego na-eji ego na-azụta na-abịa n'ime faịlụ n'ime ibe na n'ime ihe n'ime. Mgbe ị na-apụ ị ga-enweta 402 na-eji na n'ime ihe n'ime ahụ.

I nwere ike iziga PNG, JPG, WEBP, GIF, BMP, TIFF, na multi-page PDF. Nhazi ahụ a ga-ebubata dịka txt, md, docx, pdf (n'enwe ike ịchọgharị), csv, mọọbụ json site na nbudata n'ebe ahụ n'okporo ụzọ n'okporo ụzọ n'okporo ụzọ.

400 bụ faịlụ echeghị ama, ụdị a na-akwadoghị ya, mọọbụ faịlụ dị ukwuu; 401 bụ faịlụ echeghị ama mọọbụ token a na-ezere; 402 n'ime ihuakwụkwọ; 404 bụ ọrụ UUID a na-amaghị ama; na 409 bụ mbubata achọrọ tupú ọrụ ahụ gasị. N'ime ihenhọrọ ahụ dị ndesịta ozi ahụ.

Ọrụ ọbjektị na ọnọdụ, tiiri, asụsụ, page_count, na mean_confidence, nakwa ngwe zuru ezu na mọọduụ. Ihu ndị ahụ arọisụ na-ewepụ ihuakwụkwọ ọbụla n'ime blọọgụ na ngwe ha, bọ́ọ̀tụ̀ọ̀tụ̀ (bbox), nakwa n'ime-blọọgụ nkwenye.

Jiri cpu (dìfọ́ọ̀ltụ̀) maka nghọta n'ụzọ

Kpụga tulee na slug (dịka ọmụmaatụ, wepụ-táàbụ̀ mọọbụ ngwe-na-asụgharị) iji wụnye tulee ahụ's tuned preset. Maka tulee ntụgharị, kpụgakwa translate_to na ngwe ntụgharị iji nweta ngwe aghọtara n'ihu ntụgharị.

Faịlụ nke 5 ihuakwụkwọ mọọbụ ihe na-erughị ya na-ebuli n'ime n'ime POST nzaghachi. Faịlụ ndị dị ukwuu na-ebuli n'ime nkeji dịka na-echere mọọbụ na-arụ ọrụ, na ị na-ebuli GET /api/v1/ocr/<uuid>/ ruo mgbe ọnọdụ ahụ e mechara ma ọ bụ e mehieela. Nhazi ndị a na-akwụ ụgwọ na-ebuga ihenhọrọ nke ibe faịlụ ọbụla.

API bụ REST dị mfe site na HTTPS, ya mere ọ na-arụ ọrụ site na asụsụ ọ bụla na HTTP kliịntị - hụ Python, Node.js, na cURL ihe atụ n'elu. Enweghị SDK iji wụnye; ụfọdụ ụzọ nke standard HTTP koodu bụ ihe niile ịchọrọ.