OCR.chat API

Isicelo se-HTTP siguqula umfanekiso okanye i-PDF ibe ngumbhalo ococekileyo, iMarkdown, iiteyibhile, kunye ne-JSON — kwiilwimi ezingaphezu kwe-100. I-Metered ngaphaya kwephepha, akukho mqolo.

Iinkcukacha

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)

Uqinisekiso

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.

Uxwebhu olutsha

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 } ] } ]
}

Fumana isiphumo

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"

Layisha ezantsi ifomati

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

Incoko noxwebhu

Buza imibuzo malunga nomsebenzi ogqityiweyo. Iimpendulo zibekwe kuphela kumbhalo okhuphiweyo kwaye zibhale iphepha lomthombo. Ifuna ikhadi letyala - umsebenzi wonxibelelwano uqhagamshelana nekhadi.

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?"}'

Ibuyisela umyalezo womncedisi nge impendulo yayo noluhlu lwamaphepha acatshulwa:

{"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/, i-%s

Iimizekelo zekhowudi

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

Iiparamitha

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.

Imposiso & Umda

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.

Imibuzo ebuza rhoqo

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.

Ukusetyenziswa kulinganiselwa kwiphepha ngalinye kwityala lakho: unxulumano olungaziwayo lufumana i-IP nganye ihlawulwe ngemini, iakhawunti ekhululekileyo ifumana i-icon yenyanga, kwaye inkqubo ehlawulwe isebenzisa i-credits ethengiweyo eneefayile nganye eziphezulu zephepha lephepha kunye nokuqala. Xa uphuma ufumana i-402 esetyenziswayo ne-cap kwisiqu.

Ungathumela i-PNG, JPG, WEBP, GIF, BMP, TIFF, kunye ne-PDF eneephepha ezininzi. Iimpumelelo zilayishwe ezantsi njenge-txt, md, docx, pdf (efunwayo), csv, okanye json ngokudlula kwi-format parameter yendawo ephelileyo yokukhuphela.

400 yifayile elahlekile, uhlobo olungaxhaswanga, okanye ifayile enkulu kakhulu; 401 ilahlekile okanye i token engasebenziyo; 402 ngaphandle kwephepha; 404 umsebenzi ongaziwayo we UUID; ne 409 ulayisho ezantsi olucelwe phambi komsebenzi ophelileyo. Imizimba yemposiso iquka umyalezo omfutshane.

Injongo yomsebenzi enesimo, umphakamo, ulwimi, page_count, ne mean_confidence, kunye nombhalo opheleleyo nophawu phantsi. Uluhlu lweephepha lushiya iphepha ngalinye libe ziiblocks ngombhalo wabo, ibhokisi yokumiselwa (ibhokisi ye-b), kunye nokhuseleko lwe-block nganye.

Sebenzisa i cpu (engagqibekanga) yobukhawulezayo, ukuqonda okuphantsi kobungakanani bexabiso lemaxwebhu ashicilelwe kakuhle. Sebenzisa i vlm, injini ye premium AI, yokubhala ngesandla, ubeko olunzima okanye oluninzi- lomqolo, i math, kunye noguqulelo, apho ilungile kakhulu.

Isixhobo esidlulayo esingenanto (umzekelo, ukukhupha-iiteyibhile okanye ukubhala-umbhalo-umbhalo) ukudibanisa esisixhobo esimiselwe ngaphambili. Kwisixhobo sokuguqula, sidlula kwakhona translate_to ngekhowudi yoludweliso lwesivakalisi ukuze sifumane umbhalo owaziwayo oguqulelwe kwakhona.

Iifayile zephepha eli-5 okanye elingenanto zibuyela umva kwilayini kwimpendulo ye-POST. Iifayile ezinkulu zibuyela umva ngokukhawuleza njengezilindelayo okanye eziqhubekekayo, kwaye ucela GET /api/v1/ocr/<uuid>/ kude kube iimeko zigqityiwe okanye zihlulekile. Iinkqubo ezihlawulwayo zinyusa ifayile nganye yephepha eliphezulu.

I-API ilula REST ngaphezulu kwe-HTTPS, ngoko isebenza ukusuka kulo naliphi na ulwimi nomxhasi we-HTTP - bona iPython, i-Node.js, kunye ne cURL imizekelo engaphezulu. Akukho SDK efakwe; imigca emibini yekhowudi eqhelekileyo ye-HTTP yiyo yonke into oyifunayo.