Free PDF API for Developers: Get Started in 5 Minutes

Yes, a genuinely free PDF API — 100 requests per month, no credit card, no strings attached. Here's how to use it for your side projects, prototypes, and production apps.

As an indie developer or small team, you're always balancing features against costs. Every API you add to your stack is another potential bill. That's why finding a free PDF API that actually works — not a 7-day trial, not a "free tier" that throttles you to uselessness — is worth writing about.

DocuMind API offers 100 free requests per month for PDF text extraction, AI summarization, and format conversion. This guide walks you through getting started in under 5 minutes.

What You Get with the Free Plan

100 requests per month is enough for:

• Processing ~3 documents per day (personal document management)
• Powering a prototype or MVP with moderate usage
• Testing and development before scaling to a paid plan
• A small internal tool for your team
• Building a proof-of-concept for a client pitch

Why DocuMind Is Different from "Free Tiers"

Most "free" API tiers are designed to get you hooked, then charge you when you hit artificial limits. DocuMind's free plan is different:

Step 1: Get Your API Key (1 Minute)

1. Go to RapidAPI
2. Search for "DocuMind" in the marketplace
3. Click "Subscribe" on the Basic (Free) plan
4. Your API key is automatically generated

That's it. No email verification, no phone number, no waiting for approval.

Step 2: Make Your First Request (1 Minute)

Extract Text from a PDF

curl -X POST https://api.tokenall.net.cn/documind/api/v1/extract \
  -H "X-API-Key: YOUR_API_KEY" \
  -F "file=@document.pdf"

That single command gives you clean, structured text from any PDF. No SDKs, no dependencies, no setup.

Get an AI Summary

curl -X POST https://api.tokenall.net.cn/documind/api/v1/summarize \
  -H "X-API-Key: YOUR_API_KEY" \
  -F "file=@report.pdf" \
  -F "summary_length=brief"

Convert to Markdown

curl -X POST https://api.tokenall.net.cn/documind/api/v1/convert \
  -H "X-API-Key: YOUR_API_KEY" \
  -F "file=@document.pdf" \
  -F "target_format=markdown"

Step 3: Integrate into Your Project (3 Minutes)

Python

import requests

API_KEY = "your_rapidapi_key"
BASE_URL = "https://api.tokenall.net.cn/documind/api/v1"

def extract_pdf(file_path):
    """Extract text from a PDF file."""
    with open(file_path, "rb") as f:
        response = requests.post(
            f"{BASE_URL}/extract",
            headers={"X-API-Key": API_KEY},
            files={"file": f}
        )
    return response.json()["text"]

# One-liner usage
text = extract_pdf("invoice.pdf")
print(text)

JavaScript / Node.js

const fs = require('fs');
const FormData = require('form-data');
const fetch = require('node-fetch');

const API_KEY = 'your_rapidapi_key';
const BASE_URL = 'https://api.tokenall.net.cn/documind/api/v1';

async function extractPDF(filePath) {
  const form = new FormData();
  form.append('file', fs.createReadStream(filePath));
  
  const response = await fetch(`${BASE_URL}/extract`, {
    method: 'POST',
    headers: { 'X-API-Key': API_KEY },
    body: form
  });
  
  const data = await response.json();
  return data.text;
}

// Usage
extractPDF('report.pdf').then(text => console.log(text));

Go

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "mime/multipart"
    "net/http"
    "os"
)

func extractPDF(filePath, apiKey string) (string, error) {
    file, _ := os.Open(filePath)
    defer file.Close()

    body := &bytes.Buffer{}
    writer := multipart.NewWriter(body)
    part, _ := writer.CreateFormFile("file", filePath)
    io.Copy(part, file)
    writer.Close()

    req, _ := http.NewRequest("POST",
        "https://api.tokenall.net.cn/documind/api/v1/extract", body)
    req.Header.Set("X-API-Key", apiKey)
    req.Header.Set("Content-Type", writer.FormDataContentType())

    resp, err := http.DefaultClient.Do(req)
    if err != nil {
        return "", err
    }
    defer resp.Body.Close()

    var result struct {
        Text string `json:"text"`
    }
    json.NewDecoder(resp.Body).Decode(&result)
    return result.Text, nil
}

func main() {
    text, _ := extractPDF("document.pdf", "your_api_key")
    fmt.Println(text)
}

Real-World Projects You Can Build for Free

1. Personal Knowledge Base

Build a system that ingests research papers, extracts text, and creates a searchable knowledge base. At 3 papers per day, the free plan covers your daily reading habit.

2. Invoice Processor for Your Freelance Business

Automatically extract key information from client invoices and contracts. Store structured data in a spreadsheet or database.

3. Document Digest Bot

Create a Slack or Discord bot that summarizes shared PDF documents. Team members drop a PDF in a channel, and the bot responds with a concise summary.

4. PDF to Markdown Converter

Convert your old PDF documentation to Markdown for your static site generator. The convert endpoint handles the heavy lifting.

5. Resume Screening Tool

Build a simple resume screening tool for your hiring process. Extract text from candidate resumes, then use the summarize endpoint to get key qualifications.

Managing Your Free Quota

Here's how to track and optimize your 100 monthly requests:

import requests

def track_usage(api_key):
    """Check your current API usage on RapidAPI."""
    response = requests.get(
        "https://documind.p.rapidapi.com/usage",
        headers={
            "X-RapidAPI-Key": api_key,
            "X-RapidAPI-Host": "documind.p.rapidapi.com"
        }
    )
    usage = response.json()
    remaining = usage.get("remaining", "N/A")
    print(f"Remaining requests this month: {remaining}")

# Tip: Cache results locally to avoid re-processing the same documents
import hashlib
import os

def extract_with_cache(file_path, api_key, cache_dir="./pdf_cache"):
    """Extract text with local caching to save API calls."""
    os.makedirs(cache_dir, exist_ok=True)
    
    # Generate cache key from file hash
    with open(file_path, "rb") as f:
        file_hash = hashlib.md5(f.read()).hexdigest()
    
    cache_file = os.path.join(cache_dir, f"{file_hash}.txt")
    
    # Return cached result if available
    if os.path.exists(cache_file):
        with open(cache_file, "r") as f:
            return f.read()
    
    # Otherwise, call API and cache the result
    text = extract_pdf(file_path)  # From earlier example
    with open(cache_file, "w") as f:
        f.write(text)
    
    return text

When to Upgrade

The free plan is generous, but you'll want to upgrade when:

The upgrade path is seamless — same API key, same endpoints, just higher limits. No code changes needed.

Get Started Now

There's no reason not to try it. 5 minutes from now, you could have a working PDF processing pipeline in your app.

1. Visit RapidAPI and search for "DocuMind"
2. Subscribe to the free plan
3. Copy your API key
4. Paste one of the code examples above into your project
5. Done! 🎉

Published August 2, 2026 · TokenAll Blog