Doctly

Doctly is an advanced AI-powered platform designed to solve the common and often frustrating challenge of extracting accurate, structured data from documents like PDFs, DOCX files, and images. Traditional methods often result in messy, unformatted text, making it difficult for applications, especially AI models, to use the data effectively. Doctly addresses this by employing sophisticated algorithms that not only extract content but also meticulously preserve the original layout and structure, including complex elements like tables, charts, figures, and even mathematical notations (which are converted to LaTeX).

The platform's core value lies in its unparalleled accuracy. It can process even hard-to-read or complex documents, including those with handwritten text, ensuring the output is a faithful, structured representation of the source. This makes the extracted data immediately usable for downstream applications such as training large language models (LLMs), data analysis, or populating databases, eliminating the need for extensive manual cleanup.

How to use Doctly

Integrating Doctly into your workflow is designed to be fast and straightforward, primarily through its developer-friendly API.

1. Get Your API Key: Sign up on the Doctly website to get started. You receive 50 free pages to test the service without needing a credit card. Once registered, you'll find your unique API key in your account dashboard.
2. Choose Your Integration Method: You can interact with the service using its simple REST-based API or the convenient Python SDK. The Python SDK simplifies the process, allowing you to integrate document processing with just a few lines of code.
3. Process Your Document: Make an API call by sending your document (PDF, DOCX, or image file) to the Doctly endpoint. For example, using the Python SDK, you would initialize the client with your API key and then call the `client.process()` method with the path to your file.
4. Receive Structured Output: The API returns the extracted content in a clean, structured format—either Markdown or JSON, as per your needs. The Markdown output preserves formatting, headings, lists, and tables, making it highly readable and programmatically useful.
5. Implement Custom Workflows: For specialized requirements, such as extracting specific fields from invoices or scientific papers, you can work with Doctly to create a custom extraction workflow. This provides a dedicated API endpoint tailored to your exact data structure needs.

Core Features of Doctly

• High-Precision Data Extraction: Accurately extracts text, multi-column layouts, tables, figures, and charts from various document types.
• Structure & Formatting Preservation: Converts documents into clean, structured Markdown or JSON, maintaining the original document's hierarchy and formatting.
• Advanced Document Recognition: Capable of processing complex documents, including academic papers with mathematical notations (converted to LaTeX) and even handwritten text.
• Custom Extraction Workflows: Offers bespoke solutions to define exactly what information to extract and how to format it, complete with a dedicated API endpoint for each workflow.
• Developer-Friendly Integration: Provides a simple REST API and a Python SDK for quick and easy integration into existing systems and applications.
• Multi-Format Support: Natively supports PDF, DOCX, and various image formats, offering flexibility for different document sources.
• Scalable and Reliable: Built to handle high-volume processing, ensuring consistent performance as your needs grow.

Use Cases for Doctly

Doctly is versatile and can be applied across numerous industries:

• AI and Machine Learning: Preparing high-quality, structured datasets from documents to fine-tune or train large language models (LLMs) and other AI systems.
• Financial Services: Automating the extraction of data from financial reports, invoices, bank statements, and receipts for analysis, accounting, or compliance.
• Scientific and Academic Research: Parsing research papers to extract tables of results, figures, measurements, and citations for meta-analysis or knowledge base creation.
• Legal Tech: Digitizing and structuring contracts, court filings, and case law to enable faster search, review, and analysis.
• Business Process Automation (BPA): Eliminating manual data entry by automatically pulling information from business documents and feeding it into CRM, ERP, or other internal systems.

Advantages of Doctly

Choosing Doctly provides several key benefits:

• Superior Accuracy: Its advanced AI significantly reduces the error rates common with traditional OCR and document parsers.
• Enhanced Productivity: Automates the tedious and time-consuming task of manual data extraction, allowing teams to focus on higher-value activities.
• Ready-to-Use Data: Delivers clean, structured data that can be immediately ingested by other applications without requiring manual re-formatting.
• Seamless Integration: The simple API and Python SDK mean developers can get up and running in minutes, not days.
• Cost-Effective: The pay-as-you-go pricing model offers a flexible and affordable solution for businesses of all sizes.

Pricing and Plans

Doctly offers a simple and transparent pricing structure to suit different needs.

• Free Trial: Get started with 50 free pages to test the platform's capabilities. No credit card is required.
• Flexible (Pay-per-page): Ideal for businesses with variable or growing needs. This plan includes API integration and support for PDF, Docx, and image files.
  • Precision: $0.02 per page for standard document conversion.
  • Precision Ultra: $0.05 per page for highly complex documents requiring the most advanced processing.
  • Custom JSON extraction is available as a limited-time feature on this plan.
• Enterprise: A custom solution for large organizations requiring high-volume processing, custom workflows, and dedicated support. This plan includes everything in Flexible, plus custom processing workflows, dedicated support, volume discounts, and SLA guarantees. Pricing is available upon contacting their sales team.