OCR.chat API

Satunggaling pitakon HTTP ngganti gambar utawi PDF dados teks bersih, Markdown, tabel, lan JSON - ing 100+ basa. Diukur per kaca, ora ana kejutan.

Kaca

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)

Keterangan

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.

Nyawiji 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 } ] } ]
}

Nampilaké 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"

Muter-muter 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 dokumèn

Takon pitakonan bab tugas kang wis rampung. Jawaban mung didasaraké ing teks kang diekstraksi lan ngutip kaca sumber. Dibutuhaké token akun - fitur chatting dikontrol déning 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 karo jawabané 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/, nyekel transkripsi pawarta 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

Paramèter

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 wates

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 kang asring 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.

Panggunané diukur saben kaca marang saldo akunmu: panjaluk anonim nampa per-IP saben dina, akun gratis nampa saben wulan, lan rencana bayaran nganggo kredit kang didol karo per-file page caps lan prioritas kang luwih dhuwur. Nalika sampeyan rampung, sampeyan bakal nampa 402 karo digunakake lan cap ing awak.

Sampeyan bisa ngirim PNG, JPG, WEBP, GIF, BMP, TIFF, lan PDF multi-layar. Hasil diunduh minangka txt, md, docx, pdf (bisa dicari), csv, utawa json liwat parameter format titik pungkasan diunduh.

400 iku fail kang ilang, jinis ora didhukung, utawa file sing akèh banget; 401 iku token kang ilang utawa ora valid; 402 ora ana kaca; 404 iku UUID tugas kang ora dingerteni; lan 409 iku unduhan kang dibutuhaké sadurunge tugas rampung. Badan kesalahan kalebu pesen cekak.

Satunggaling obyek tugas kaliyan status, tingkat, basa, page_count, lan mean_confidence, kaliyan teks lengkap lan markdown. Array kaca ngresiki saben kaca dados blok kaliyan teks, kotak wates (bbox), lan per-block confidence.

Gunakaké cpu (piranti pigura) kanggo nyedhiyani pangertèn dokumen cetak kang resik kanthi cepet lan murah. Gunakaké vlm, mesin AI premium, kanggo nulis tangan, tata letak kompleks utawa multi-kolom, matematika, lan terjemahan, ing ngendi iku luwih akurat.

Ngepasi alat kaliyan slug (misalnya extract-table utawa handwriting-to-text) kanggé nerapaké preset alat punika ingkang sampun kaset. Kanggé alat terjemahan, uga ngepasi translate_to kaliyan kodhe basa target kanggé nampi teks ingkang dipunkenal kanggé dipunterjemahaken malih.

Fayl kang cacahé5utawa kurang bakal disimpen ing wangun inline ing POST. Fayl kang luwih gedhé bakal langsung disimpen minangka sing durung rampung utawa diproses, lan sampeyan bakal poll GET /api/v1/ocr/<uuid>/ nganti status wis rampung utawa gagal. Rencana bayaran nambahi watesan kaca saben file.

API punika REST biasa ing HTTPS, saéngga punika damel saking basa manawi kaliyan HTTP klien - ndeleng Python, Node.js, lan cURL conto ing ndhuwur. Ora wonten SDK kanggo nginstal; sapérangan garis standar HTTP kode punika sadaya ingkang sampeyan butuhaken.