PDF.co

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Automate PDF tasks with PDF.co's low-code REST API. AI invoice parsing extracts data template-free. Convert, edit, and manage documents for peak efficiency.0
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What is PDF.co?

PDF.co offers a robust Web API designed to streamline and automate virtually all your PDF document operations, eliminating manual tasks and significantly reducing processing time. It empowers developers and businesses to integrate powerful PDF capabilities directly into their applications and workflows.

Key Features

  • 📄 AI-Powered Invoice Parsing: Effortlessly extract data from invoice documents without needing templates. This feature leverages AI to convert PDF invoices into quick, precise, and standardized JSON output, making data extraction faster and more accurate.

  • 🔄 Comprehensive PDF Conversion: Transform PDFs into various formats like Excel, CSV, XML, JSON, HTML, and images, and convert nearly anything back into PDF. This versatility ensures your data is accessible and usable across different systems.

  • 🔍 Advanced Document Parsing & Classification: Automate data extraction from diverse document types, including scans, invoices, orders, and reports. Additionally, you can automatically sort and organize PDF documents by creating custom classification rules, streamlining document management.

  • ✍️ Full PDF Editing & Management Suite: Gain complete control over your PDF documents. You can edit content, fill forms, merge multiple PDFs, split large documents, add e-signatures, search and replace text, compress files, and manage security settings.

Use Cases

  1. Automating Invoice Processing: Finance departments can integrate PDF.co's AI-powered invoice parsing to automatically extract line items, vendor details, and totals from incoming invoices, converting them into structured data for immediate accounting system entry.

  2. Streamlining Document Workflows: Developers can embed PDF.co into their applications to automatically convert reports into PDF, generate custom PDF documents from databases, or extract specific data points from contracts for analysis, all within existing workflows.

  3. Enhancing Customer Onboarding: Businesses can use PDF.co to automatically create and pre-fill personalized PDF forms for new customers, add e-signatures, and classify uploaded identification documents, accelerating the onboarding process.

Why Choose PDF.co?

PDF.co stands out by combining powerful PDF functionality with developer-friendly integration and advanced automation capabilities:

  • Low-Code Integration & Extensive Ecosystem: With a REST-based API and a rich ecosystem of over 3,000 integrations, including Zapier and Make, PDF.co allows you to automate complex PDF tasks with minimal coding. You can connect to thousands of apps, drastically reducing development time.

  • AI-Driven Efficiency: Our unique AI-Powered Invoice Parsing eliminates the need for manual template creation, offering faster and more precise data extraction from unstructured invoices. This translates to significant time savings and improved data accuracy for your operations.

  • Proven Reliability & Trust: Trusted by over 50,000 users globally, including major enterprises, PDF.co provides a secure and dependable solution for critical document processing needs. All requests are sent via HTTPS, ensuring your data remains protected.

Conclusion

PDF.co offers a powerful, flexible, and reliable Web API solution to automate and manage all your PDF document requirements. By eliminating manual tasks and integrating seamlessly into your existing systems, it helps you save time, reduce errors, and enhance operational efficiency.


More information on PDF.co

Launched
2023-03
Pricing Model
Free Trial
Starting Price
Global Rank
211318
Follow
Month Visit
186.7K
Tech used
Microsoft Clarity,Next.js,Vercel,Emotion,Gzip,OpenGraph,Webpack,HSTS

Top 5 Countries

13.62%
9.41%
4.18%
3.48%
3.03%
United States India Spain France Russia

Traffic Sources

2.88%
0.82%
0.12%
8.35%
47.11%
40.72%
social paidReferrals mail referrals search direct
Source: Similarweb (Sep 24, 2025)
PDF.co was manually vetted by our editorial team and was first featured on 2024-05-24.
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