API OCR.chat

Mae un cais HTTP yn troi delwedd neu PDF i mewn i destun clir, Markdown, tablau, a JSON — mewn mwy na 100 o ieithoedd. Mae'n cael ei fesur ar gyfer pob tudalen, dim annisgwyl.

Crynodeb

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)

Dilysiant

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.

Anfon dogfen

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 } ] } ]
}

Cyrchu canlyniad

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"

Lawrlwytho fformat

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

Sgwrsio â dogfen

Gofyn cwestiynau am waith wedi'i gwblhau. Mae atebion yn seiliedig ar y testun echdynedig yn unig ac yn dyfynnu'r dudalen ffynhonnell. Mae angen tocyn cyfrif - mae'r nodwedd sgwrsio yn cael ei rwystro gan y cyfrif.

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?"}'

Dychwelyd y neges cynorthwyydd gyda' i ateb a rhestr o dudalennau wedi' u dyfynnu:

{"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/, nôl y traethawd cyfathrebu llawn ar gyfer swydd.

Enghreifftiau o' r Côd

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

Paramedrau

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.

Gwall:

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.

Cwestiynau a ofynnir yn aml

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.

Mae defnydd yn cael ei fesur ar gyfer pob tudalen yn erbyn balans eich cyfrif: mae galwadau di-enw yn cael caniatad diwrnod ar gyfer pob IP, mae cyfrifon am ddim yn cael bwced misol, ac mae cynlluniau talu yn defnyddio credydau prynu gydag uchafswm a blaenoriaeth tudalen uwch ar gyfer pob ffeil. Pan fyddwch yn rhedeg allan, cewch 402 gyda defnydd a therfyn yn y corff.

Gallwch anfon PNG, JPG, WEBP, GIF, BMP, TIFF, a PDF aml-dudalen. Llwytho i lawr canlyniadau fel txt, md, docx, pdf (gellir chwilio amdano), csv, neu json drwy baramedr fformat y pwynt gorffen lawrlwytho.

Mae 400 yn ffeil ar goll, math heb ei gynnal, neu ffeil rhy fawr; 401 yn tocyn ar goll neu annilys; 402 allan o dudalennau; 404 yn UUID swydd anhysbys; a 409 yn lawrlwythiad a ofynwyd amdano cyn gorffen y swydd. Mae corff gwall yn cynnwys neges fyr.

Gwrthrych swydd gyda statws, lefel, iaith, page_count, a mean_confidence, yn ogystal â'r testun llawn a'r marciau. Mae'r array tudalennau yn torri pob tudalen i mewn i blociau gyda'u testun, blwch cyfyngiad (bbox), a diogelwch pob bloc.

Defnyddio cpu (y rhagosodedig) ar gyfer adnabyddiaeth gyflym, cost isel o ddogfennau argraffedig glan. Defnyddio vlm, y peiriant AI premiwm, ar gyfer ysgrifennu â llaw, cynlluniau cymhleth neu aml- golofn, mathemateg, a chyfieithu, lle mae'n llawer mwy cywir.

Rhowch offeryn gydag arwydd (er enghraifft, extract-tables neu handwriting-to-text) i weithredu rhagosodiadau'r offeryn hwnnw. Ar gyfer yr offeryn cyfieithu, rhowch translate_to gyda'r cod iaith cyrchfan i gael y testun a adnabyddir yn ôl wedi ei gyfieithu.

Mae ffeiliau o 5 tudalen neu lai yn dychwelyd yn fewnlin yn yr ymateb POST. Mae ffeiliau mwy yn dychwelyd yn syth fel rhai ar ôl neu'n cael eu prosesu, a byddwch yn holi GET /api/v1/ocr/<uuid>/ hyd nes bod y statws wedi' i wneud neu wedi methu. Mae cynlluniau talu yn codi' r uchafswm tudalen fesul ffeil.

Mae'r API yn REST syml dros HTTPS, felly mae'n gweithio o unrhyw iaith gyda dibynnydd HTTP - gweler y enghreifftiau Python, Node.js, a cURL uchod. Nid oes SDK i'w osod; dim ond ychydig o linellau o godau HTTP safonol sydd eu hangen arnoch.