Why Developers Choose Doctly.ai
Precision Extraction Across Document Types
Detects and reconstructs text, tables (with headers and merged cells), figures, captions, footnotes, and embedded charts — even in scanned or low-resolution PDFs.
True Semantic Markdown Output
Generates human-readable, AI-ready Markdown with proper heading levels (##, ###), fenced code blocks for algorithms, list nesting, and inline math support — ready for RAG, fine-tuning, or LLM ingestion.
Adaptive Model Routing
Dynamically selects optimal parsing models per page — choosing between OCR-enhanced, layout-aware, or text-dense pipelines — ensuring speed *and* accuracy across heterogeneous documents.
Context-Aware Feature Recognition
Identifies document-specific structures: section titles, equation numbering, citation markers, table-of-contents links, and cross-references — turning static PDFs into navigable, queryable knowledge graphs.
Real-World Applications
Power Your AI Stack with Structured Documents
From ingesting research literature into vector databases to converting regulatory filings into training datasets — Doctly.ai bridges the gap between legacy PDF archives and modern LLM infrastructure.
Frequently Asked Questions
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How does Doctly ensure parsing accuracy?
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Is there a free trial available?
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What programming languages are supported?
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Support & Contact
Reach our engineering-first support team at [email protected]. For urgent issues or enterprise onboarding, visit the Contact page.
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About Doctly.ai
Doctly.ai is developed by Doctly Labs — a team of NLP researchers and full-stack engineers focused on making document intelligence frictionless, scalable, and open.
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Log In to Your Account
Access your dashboard, usage analytics, and API keys: https://doctly.ai/login
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Create Your Free Account
Start parsing instantly — no credit card required: https://doctly.ai/signup
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Transparent, Scalable Pricing
View plans, rate limits, and enterprise options: https://doctly.ai/#pricing
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Open Source & SDKs
Explore the Python SDK, CLI tools, and contribution guidelines: https://github.com/doctly/doctly