OCR.chat API

Viens HTTP pieprasījums pārvērš attēlu vai PDF tīrā tekstā, Markdown, tabulās un JSON — 100+ valodās. Meted katrā lapā, nav pārsteigumu.

Pārskats

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)

Autentificēšana

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.

Iesniegt dokumentu

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 } ] } ]
}

Iegūt rezultātu

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"

Lejupielādēt formātu

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

Tērzēšana ar dokumentu

Uzdot jautājumus par pabeigtu darbu. Atbildes ir balstītas tikai iegūto tekstu un norāda avota lapu. Nepieciešams konta žetons — tērzēšanas funkcija ir grāmatvedības bāzēta.

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?"}'

Atgriež palīgziņojumu ar savu atbildi un sarakstu ar citētām lapām:

{"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/, Ielādējiet pilnu sarunu protokolu darbam.

Koda piemēri

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

Parametri

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.

Kļūdas & limiti

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.

Bieži uzdotie jautājumi

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.

Lietošana tiek mērīta katrā lapā, salīdzinot ar konta bilanci: anonīmi zvani saņemt katru IP dienas naudu, bezmaksas kontu ikmēneša spaini, un apmaksāti plāni izmantot iegādātos kredītus ar augstāku failu lapas cepuru un prioritāti. Kad jūs iziet jūs saņemsiet 402 ar izmantoto un vāciņu organismā.

Jūs varat nosūtīt PNG, JPG, WEBP, GIF, BMP, TIFF, un vairāku lapu PDF. Rezultāti lejupielādēt kā txt, md, docx, pdf (izpētāms), csv, vai json izmantojot lejupielādes mērķapjoma formātu parametru.

400 ir trūkstošs fails, neatbalstīts tips vai fails pārāk liels; 401 trūkstošs vai nederīgs žetons; 402 no lapām; 404 nezināms darbs UUID; un 409 lejupielāde pieprasīta pirms darba pabeigšanas. Kļūdas iestādes ietver īsu vēstuli.

Darba objekts ar statusu, līmenis, valoda, lapa_number, un vidējā_ticamība, plus pilns teksts un atzīmes. Lappušu masīvs pārrauj katru lapu blokos ar savu tekstu, ribās rūtiņu (bbox), un par bloku pārliecību.

Izmantojiet cpu (noklusējuma) ātrai, lētai tīru drukātu dokumentu atzīšanai. Izmantojiet vlm, premium AI dzinēju, roku rakstīšanai, sarežģītiem vai vairāku kolonnu izkārtojumiem, matemātika, un tulkojums, ja tas ir daudz precīzāk.

Pārnest rīks ar slug (piemēram, Extract-tables vai rokraksts- uz tekstu) piemērot šī rīka pielāgoto priekšstādīt. Pārtulkot rīks, arī nodot tulkot_to ar mērķa valodas kodu, lai iegūtu atzīto tekstu atpakaļ tulkot.

Faili 5 lapas vai mazāk atgriezeniski pēc pasta atbildē. Lielāki faili atgriezties uzreiz kā vēl nav pabeigta vai apstrādi, un jūs aptaujāt GET /api/v1/ocr /<uuid>/ līdz stāvoklis ir izdarīts vai neizdevās. Paceliet faila lapas vāku.

API ir vienkārša REST pār HTTPS, tāpēc tā darbojas no jebkuras valodas ar HTTP klientu — skatiet Python, Node.js, un cURL piemēri iepriekš. Nav SDK instalēt; dažas līnijas standarta HTTP kodu ir viss, kas jums nepieciešams.