PDF.chat API

Kuongorora

The PDF.chat API ndeimwe shoma REST interface. First iwe POST a document to ingest it and get back a job with the document's text and a per-page breakdown (text, bounding boxes, confidence). POST Zvimwe zvinyorwa zvinoda kuiswa mubhuku rezvinyorwa. Zvinyorwa zve5 mapeji kana zvishoma zvinodzokera mumisoro; zvinyorwa zvakakura zvinodzokera pending status kuti iwe poll kusvika done.

• Chikamu che URL: https://pdf.chat
• Mapepa e: PDF, pamwe neWord, PowerPoint, tenzi, uye mapikicha (PNG, JPG, WEBP, GIF, BMP, TIFF)
• Chat kunze: mazano nepeji citations; transcripts kuburikidza ne history endpoint
• Kugadzirisa txt, md, docx, pdf, csv, json
• Kuverenga injini: cpu (fast, yakadhindwa docs) uye vlm (premium AI, handwriting, zvakaoma layout, math)

Ku_zivana

Kuratidza neyako API token (wanani pawebsite yako) account page) seBearer header:

Authorization: Bearer YOUR_API_TOKEN

Unogonawo kutumira ?api_token=… Usage inoongororwa zvichienderana nemari yepapeji yeaccount yako.

Kutumira dokumendi

POST /api/v1/ocr/, multipart fomu upload.

curl -X POST https://pdf.chat/api/v1/ocr/ \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -F "file=@invoice.pdf" \
  -F "tier=vlm" \
  -F "language=auto"

Remembers the job. For ≤5- page files it is already done nezita rezita; mazhinji mafile anodzokera pending/processing, poll iyo 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 } ] } ]
}

Get a result

GET /api/v1/ocr/<uuid>/, poll until status i done kana failed.

curl https://pdf.chat/api/v1/ocr/9f2c1b7e4a.../ \
  -H "Authorization: Bearer YOUR_API_TOKEN"

Dzvanya kuti utore format

GET /api/v1/ocr/<uuid>/download/?format=md, export the result. format imwechete txt, md, docx, pdf, csv, json.

curl -L "https://pdf.chat/api/v1/ocr/9f2c1b7e4a.../download/?format=docx" \
  -H "Authorization: Bearer YOUR_API_TOKEN" -o result.docx

Chat nechikumbiro chekutumira

Kubvunza mibvunzo nezvebasa rapera. Mashoko anobva chete mumitauro yakabuda uye anotaura nezvemumwe mutauro. Kuda account token, chat feature is account-gated.

POST /api/v1/chat/<uuid>/, JSON body {"message": "your question"}.

curl -X POST https://pdf.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?"}'

Returns the assistant message with its answer and a list of cited pages:

{"conversation": "a1b2…", "message": {
   "role": "assistant",
   "content": "The total is $42, due on March 3 (p. 1).",
   "citations": [{"page": 1, "cited_text": "The invoice total is $42…", "document_id": "9f2c1b7e4a…"}]
}}

GET /api/v1/chat/<uuid>/history/, fetch the full conversation transcript for a job.

Code mifananidzo

• Python
• Node.js
• cURL

import requests, time

BASE = "https://pdf.chat/api/v1"
H = {"Authorization": "Bearer YOUR_API_TOKEN"}

# 1. Upload a PDF
with open("contract.pdf", "rb") as f:
    job = requests.post(BASE + "/ocr/", headers=H, files={"file": f}).json()

# 2. Wait until it's ready to chat
while job["status"] in ("pending", "processing"):
    time.sleep(2)
    job = requests.get(f"{BASE}/ocr/{job['uuid']}/", headers=H).json()

# 3. Ask questions — every answer is cited to the page
ans = requests.post(f"{BASE}/chat/{job['uuid']}/", headers=H,
    json={"message": "What is the termination notice period?"}).json()
print(ans["message"]["content"])
print(ans["message"]["citations"])

import fs from "fs";

const BASE = "https://pdf.chat/api/v1";
const H = { Authorization: "Bearer YOUR_API_TOKEN" };

// 1. Upload a PDF
const form = new FormData();
form.append("file", new Blob([fs.readFileSync("contract.pdf")]), "contract.pdf");
let job = await (await fetch(`${BASE}/ocr/`, { method: "POST", headers: H, body: form })).json();

// 2. Wait until it's ready to chat
while (["pending", "processing"].includes(job.status)) {
  await new Promise(r => setTimeout(r, 2000));
  job = await (await fetch(`${BASE}/ocr/${job.uuid}/`, { headers: H })).json();
}

// 3. Ask questions — every answer is cited to the page
const ans = await (await fetch(`${BASE}/chat/${job.uuid}/`, {
  method: "POST", headers: { ...H, "Content-Type": "application/json" },
  body: JSON.stringify({ message: "What is the termination notice period?" })
})).json();
console.log(ans.message.content, ans.message.citations);

# 1. Upload a PDF
curl -X POST https://pdf.chat/api/v1/ocr/ \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -F "file=@contract.pdf"

# 2. Ask questions (use the uuid from step 1) — answers cited to the page
curl -X POST https://pdf.chat/api/v1/chat/UUID/ \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"message": "What is the termination notice period?"}'

Parameter

Maitiro & miganhu

Kana iwe uchida kushandura mapeji ese, unogona kusarudza pakati pezviuru zvezvirongwa zvepamberi (1/page paFast Tier, more on Premium). pricing.

Zvimwe zvinobvunzwa zvakanyanya