OCR.chat API

Jedan HTTP zahtjev pretvara sliku ili PDF u čist tekst, markdown, stolove i JSON — na 100+ jezika. Mjere se po stranici, bez iznenađenja.

Pregled

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)

Ovjera

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.

Pošalji 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 } ] } ]
}

Dobiti rezultat

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"

Preuzmi 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

Časkaj s dokumentom

Postavlja pitanja o završetku posla. Odgovori su utemeljiti samo u izvučenom tekstu i navodi izvornu stranicu. Zahtjeva žeton računa — čavrljanje je postavljeno.

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?"}'

Vraća pomoćnu poruku sa svojim odgovorom i popisom navedenih stranica:

{"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/, Donesi cijeli razgovor transkripta za posao.

Primjeri koda

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.

Greška & ograničenja

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.

Česta pitanja

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.

Upotreba je mjerio po stranici prema vašem računu bilans: anonimni pozivi dobivaju per-IP dnevni džeparac, besplatni računi mjesečno kantu, i plaćeni planovi korištenje kupljene kredite s većim po-datoteka kape i prioritet. Kada ste pokrenuti dobivate 402 s korištenjem i kapom u tijelu.

Možete poslati PNG, JPG, WEBP, GIF, BMP, TIFF i višestranica PDF. Rezultati preuzimanja kao txt, md, docx, pdf (pretraživanje), csv, ili json kroz parametre ishoda preuzimanja.

400 je fajl, nepodržan tip, ili datoteka prevelika; 401 nedostaje ili neispravan žeton; 402 od stranica; 404 nepoznat posao UUID; i 409 preuzimanje zatražio prije završetka posla. Tijela greške uključuju kratku poruku.

Objekt posla sa statusom, stupnjem, jezikom, stranicom_povjerljivost i srednjim pouzdanjem, plus cijeli tekst i oznaka. Stranice niz razbija svaku stranicu u blokove sa svojim tekstom, okvirom za ograničenje (bbox) i povjerenje po bloku.

Koristite cpu (uobičajeno) za brzo, nisko troškovno prepoznavanje čistih tiskana dokumenta. Koristite vlm, premium AI motor, za rukopis, složeni ili višestruki rasporedi, matematika, i prijevod, gdje je daleko točnije.

Prebaci alat s metkom (na primjer ekstrakt-tables ili rukopis-na-tekst) za primjenu tog alata nastavka. Za alat prevesti, također prevesti_to s ciljnim jezikom kod za dobivanje prepoznati tekst natrag preveden.

Datoteke s 5 stranica ili manje povratka u odgovoru POST. Veći datoteke se odmah vraćaju kao u čekanju ili obradi, a vi anketu GET /api/v1/okr/<uuid>/ dok se status ne završi ili ne uspije. Plaćeni planovi podignuti po polju stranice.

API je obična REST preko HTTPS, tako da radi iz bilo kojeg jezika s HTTP klijentom - pogledajte Python, Node.js, i cURL primjere gore. Nema SDK za instaliranje; nekoliko linija standardnog HTTP koda su sve što trebate.