OCR.chat API

Bir HTTP soragy bir resimi ýa-da PDF'i arassa metin, Markdown, tabs, we JSON'a öwürýär — 100'den köp dillerde. Sahypa üçin ölçeýär, hiç bir şaşka ýok.

_Gözleg

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)

Tanyşlyk

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.

Bir sened iber

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 } ] } ]
}

Netijäni al

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"

Bir formaty ýükle

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

Bir sened bilen gürleş

Bir tamamlanan iş hakda soraglar sora. jogaplar diňe çykarylan metinde esaslanýar we çeşme sahypany getirýär. Hasap tokeni gerekdir - gürleşiş aýratynlygy hasap-gatly.

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?"}'

Asist islegini öz jogap bilen we sahypalaryň bir sanawy bilen gaýtar:

{"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/, bir iş üçin doly gürleşig transkriptini al

Kod mysallary

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

Parametrler

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.

Hatalar we çäkler

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.

Köp soralýan soraglar

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.

Ullanyş her sahypa üçin hasabyň balansy bilen ölçenilýär: anonim jaňlar her IP üçin gündelik bir ömürlik, mugt hasaplar aýlyk bir baç, we tölegli planlar her faýl üçin ýokary sahypa çygyrlary we öňe gidişlik bilen satyn alnan kreditleri ulanýar. Çyksaň, bir 402 alyň, içinde ulanylan we çygyr bar.

PNG, JPG, WEBP, GIF, BMP, TIFF we köp sahypaly PDF ugradyp bilersiň. Netijeler txt, md, docx, pdf (aýalmak mümkin), csv, ýa-da json formatda ýüklenmek üçin ýüklenmek soňy noktasynyň format parametri arkaly.

400 bir faýl ýok, goldamaýan bir faýl görnüşi ýa-da faýl gaty uludyr; 401 bir faýl ýok ýa-da ýalan token; 402 sahypadan çykdy; 404 bir bilmedik iş UUID; we 409 bir iş tamamlanmadan öň ýüklenmek islendi. Hata bedeni bir gysga habary içer.

Bir iş zady halty, derejesi, dili, page_count, we mean_confidence bilen, plus doly metin we markdown bilen. Sahypalar arşiwi her bir sahypany öz metni, çäk çubuk (bbox), we her bloka ynamlylyk bilen bloklara böler.

Cpu (öň bellenen) ullan, tiz, az bahaly, arassa çap edilen senedleri tanamak üçin. vlm, premium AI enjin, el ýazgy, çylşyrymly ýa-da köp sütunly planşötler, matematika we terjime üçin ullan, ol has dogry.

Bu esbapyň öň bellenen öwredişini ulanmak üçin bir slagy bilen esbaby geç (meselem extract-tables ýa-da handwriting-to-text). Terjime esbaby üçin, tanalýan metin terjime ediljek bolup, maksat dil köd bilen translate_to-ny hem geç.

5 ýa-da az sahypaly faýllar POST jogapda inline dolanyp gelerler. Beýik faýllar derhal garaşýan ýa-da işleýän ýaly dolanyp gelerler we siz GET /api/v1/ocr/ soraýas<uuid>/ status tamamlanýan ýa-da hata edençe. Ödenilen planlar faýl üçin sahypa çygyryny artdyrýar.

API HTTPS üsti bilen REST'dir, şonuň üçin HTTP kliýent bilen her dilden işleýär - Python, Node.js, we cURL mysallary gör. Goýmak üçin SDK ýok; bir näçe standart HTTP koda gerek bar.