OCR.chat API
Бер HTTP сорау рәсем яки PDFны 100 дән артык телдә чиста текстка, Markdown, таблицага һәм JSONга әйләндерә. Бер биткә исәпләнгән, сюрпризлар юк.
Күзәтү
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) andvlm(premium AI, handwriting, complex layout, math)
Аутентификация
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.
Документны җибәрү
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 } ] } ]
}
Нәтиҗәләр
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"
Форматны юкка чыгару
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
Документ белән сөйләшү
Башланган эш турында сораулар бирегез. Җаваплар бары тик чыгарылган текстка нигезләнә һәм чыганак битен күрсәтә. Кагыйдә буларак, бу өчен аккаунт иконкасы кирәк, чөнки сөйләшү функциясе аккаунт белән чикләнгән.
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?"}'
Җавап белән ярдәмче хәбәрен һәм цитатлар исемлеген кайтара:
{"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/, бурыч өчен сөйләшүнең тулы транскрипциясен алырга.
Код мисаллары
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
Параметрлар
| Field | Type | Description |
|---|---|---|
file | file | Required. The image or PDF to process. |
tier | string | cpu (default, fast/printed) or vlm (premium AI: handwriting, layout, math). |
language | string | auto (default) or a language code (en, ch, ja, ar, …). |
tool | string | Optional tool slug (e.g. extract-tables, handwriting-to-text) to apply that tool's preset. |
translate_to | string | For the translate tool, target language code. |
Хаталар һәм чикләүләр
| Code | Meaning |
|---|---|
400 | No file, unsupported type, or file too large. |
401 | Missing or invalid API token. |
402 | Out of pages, daily/monthly free limit reached, or no credits. The body includes used/cap. |
404 | Job UUID not found. |
409 | Download 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.
Кайвакыт бирелә торган сораулар
language=auto to detect, or pass a specific code.