OCR.chat APIa

HTTP eskaera batek irudi edo PDF bat testu garbi, Markdown, taulak eta JSON bihurtzen ditu — 100 hizkuntza baino gehiagotan. Orri bakoitzeko neurketa, sorpresarik gabe.

Orokorra

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)

Autentifikazioa

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.

Bidali dokumentua

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 } ] } ]
}

Lortu emaitza

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"

Deskargatu formatu bat

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

Dokumentu batekin berriketan

Egin galdera amaitu den lan bati buruz. Erantzunak erauzitako testuan bakarrik oinarritzen dira eta iturburu-orrialdea aipatzen dute. Kontu-tokena behar da - berriketa-eginbidea kontu-gatekoa da.

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?"}'

Laguntzailearen mezua itzultzen du bere erantzunarekin eta aipaturiko orrialdeen zerrendarekin:

{"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/, lortzen du lan baten elkarrizketa-transkriba osoa.

Kodearen adibideak

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

Parametroak

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.

Erroreak eta mugak

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.

Maiz egiten diren galderak

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.

Erabilera orri bakoitzeko neurtzen da zure kontuaren balantzearen arabera: dei anonimoak IP bakoitzeko eguneko muga bat jasotzen du, kontu doakoak hileko muga bat, eta ordaindutako planek erositako kredituak erabiltzen dituzte fitxategi bakoitzeko orrialdeen muga eta lehentasun handiagoarekin. Amaitzen duzunean, 402 mezua jasotzen duzu, gorputzean erabilita eta mugatuta.

PNG, JPG, WEBP, GIF, BMP, TIFF eta orrialde anitzeko PDFak bidali ditzakezu. Emaitzak txt, md, docx, pdf (bilagarria), csv edo json gisa deskargatzen dira, deskarga-amaierako puntuaren formatu-parametroaren bidez.

400 fitxategi bat falta da, onartzen ez den mota edo fitxategi handiegia da; 401 token bat falta da edo baliogabea da; 402 orrialderik ez; 404 lanaren UUID ezezaguna; eta 409 lanaren amaiera baino lehen deskarga eskatu da. Errore-gorputzek mezu labur bat dute.

Lana egiteko objektu bat, egoera, maila, hizkuntza, page_count eta mean_confidence dituena, testu osoa eta markdown gehituz. Page array-ak orri bakoitza testua, muga-koadroa (bbox) eta bloke bakoitzeko konfiantza duten blokeetan zatitzen du.

Erabili PUZ (lehenetsia) inprimatutako dokumentu garbiak azkar eta kostu txikiz ezagutzeko. Erabili vlm, AI motor premiuma, eskuz idazteko, diseinu konplexu edo zutabe anitzekoetarako, matematikarako eta itzulpenerako, zehatzagoa delako.

Pasatu tresnari slug bat (adibidez, extract-tables edo handwriting-to-text) tresna horren aurrezarpen egokitua aplikatzeko. Itzulpen-tresnarentzat, pasatu translate_to helburuko hizkuntza-kodearekin ere, testua itzulita itzultzeko.

5 orri edo gutxiagoko fitxategiak POST erantzunean itzultzen dira lerroan. Fitxategi handiagoak berehala itzultzen dira zain edo prozesatzen bezala, eta GET /api/v1/ocr/ galdetzen duzu<uuid>/ egoera egina edo huts egina izan arte. Ordainpeko planek fitxategi bakoitzeko orrialdeen muga igotzen dute.

APIa HTTPS-ren gainean REST soila da, beraz, HTTP bezeroa duen edozein hizkuntzatan funtzionatzen du —ikus Python, Node.js eta cURL adibideak goian. Ez dago SDKrik instalatzeko; HTTP kode estandarreko lerro batzuk behar dituzu.