OCR.chat API

Sahiji panyungsi HTTP ngarobah gambar atawa PDF kana teks, Markdown, tabel, sarta JSON - dina 100+ basa. Diukur per halaman, teu aya anu ngaherankeun.

Gambaran Umum

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)

Autentikasi

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.

Kirim dokumen

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 } ] } ]
}

Ngambil asil

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"

Muat turun 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

Chat karo dokumen

Nyaetakeun patarosan ngeunaan tugas anu réngsé. Jawabanna ngan ukur aya dina teks anu dieksekusi sarta nyatet halaman sumber. Peryogikeun token akun - fitur ngobrol diwatesan ku akun.

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?"}'

Kembalikan pesan asisten kanthi jawaban lan dhaptar kaca sing dikutip:

{"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/, nelusuri transkripsi konverkasi lengkap kanggo tugas.

Conto kode

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

Параметри

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.

Kesalahan lan watesan

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.

Takon-takon kang kerep diajukake

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.

Panggunana diukur per halaman ngalawan saldo akun anjeun: Panggero anonim meunangkeun per-IP per dinten, akun bébas meunangkeun per bulan, sarta rencana dibayar nganggo kredit anu dibeli kalayan wates halaman per-file anu langkung luhur sareng prioritas. Nalika anjeun leungit, anjeun meunangkeun 402 kalayan dipaké sareng wates dina awak.

Anjeun bisa ngirim PNG, JPG, WEBP, GIF, BMP, TIFF, sarta PDF multi-page. Hasilna diunduh minangka txt, md, docx, pdf (bisa dicari), csv, atawa json ngaliwatan parameter format titik akhir diunduh.

400 nyaéta file anu kaleungitan, jenis anu teu didukung, atawa file anu gedé teuing; 401 hiji token kaleungitan atawa teu sah; 402 kaluar tina halaman; 404 hiji UUID tugas anu teu kawanoh; sarta 409 hiji ngundeur anu dipikabutuh saméméh tugas réngsé. Tubuh kasalahan ngawengku pesen pondok.

Sabuah objek tugas kalawan status, tingkat, basa, page_count, jeung mean_confidence, ditambah teks pinuh jeung markdown. Array halaman ngabédakeun unggal halaman jadi blok kalawan teksna, kotak wates (bbox), sarta per-blok confidence.

Gunakeun cpu (piawai) pikeun ngaidentipikasi dokumen cetak bersih kalayan gancang, sareng henteu mahal. Gunakeun vlm, mesin AI premium, pikeun tulisan tangan, tata letak kompleks atanapi multi-jubin, matematika, sareng terjemahan, dimana éta langkung akurat.

Nyambungkeun alat jeung slug (contona extract-tables atawa handwriting-to-text) pikeun nerapkeun pra-ngawatesan alat anu ditangtukeun. Pikeun alat ngébréhkeun, ogé nyambungkeun translate_to jeung kode basa target pikeun meunangkeun teks anu dipikawanoh diwaca deui.

Berkas kang ukurane 5 kaca utawa kurang bakal dipulangake ing respon POST. Berkas kang luwih gedhé bakal langsung dipulangake minangka sing durung rampung utawa diproses, lan sampeyan bakal takon GET /api/v1/ocr/<uuid>/ nganti status wis rampung utawa gagal. Rencana dibayar narik kaca per-file cap.

API nyaéta REST biasa dina HTTPS, janten éta damel tina basa naon waé kalayan klien HTTP - tingali conto Python, Node.js, sareng cURL di luhur. Teu aya SDK pikeun dilebetkeun; sababaraha garis kode HTTP standar anu anjeun peryogikeun.