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dOCR.dev VS mdstill

Compare dOCR.dev VS mdstill and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Reviews
  3. ยป Alternatives

dOCR.dev logo dOCR.dev

dOCR turns PDFs, images, and documents into clean, validated JSON โ€” invoices, receipts, IDs, tax forms โ€” via one API or a no-code dashboard.

mdstill logo mdstill

Document-to-markdown preprocessor built for LLM and RAG workflows. Turn any document (PDF, Word, Excel, EPUB +20 formats) into clean, structure-preserving markdown ready for ChatGPT, Claude, Gemini, or your RAG pipeline.Includes REST API.Free to use
  • dOCR.dev Landing page
    Landing page //
    2026-06-26
  • mdstill
    Image date //
    2026-04-21
  • mdstill
    Image date //
    2026-04-21
  • mdstill
    Image date //
    2026-04-21
  • mdstill
    Image date //
    2026-04-21
  • mdstill
    Image date //
    2026-04-21

mdstill is a document-ingestion tool purpose-built for LLM and RAG workflows. Where generic converters dump messy text, mdstill outputs clean, semantic markdown that preserves tables, headings, and document structure โ€” the things LLMs actually need to understand context.

What you can do with it:

Prepare documents for RAG pipelines (chunk-ready, semantic boundaries preserved) Feed PDFs, Word files, or spreadsheets into ChatGPT, Claude, or Gemini without losing tables Build knowledge bases in Obsidian, Notion, or Logseq from existing document archives Extract structured context for AI agents and embeddings How it's different: Deep-conversion mode runs layout-aware parsing (tables, OCR, multi-column PDFs) โ€” not just text dumping. Markdown output is ~40% more token-efficient than raw text, so your LLM costs drop. REST API available for pipeline automation.

Free tier, no signup required for basic use. Competes with markitdown, Unstructured.io, and LlamaParse โ€” but with a zero-friction web UI.

dOCR.dev features and specs

  • Simple API Design
    dOCR.dev offers a straightforward and developer-friendly API for optical character recognition, making it easy to integrate OCR capabilities into applications without complex setup or configuration.
  • Cloud-Based Processing
    As a cloud-based OCR service, dOCR.dev eliminates the need for local infrastructure or heavy computational resources, allowing developers to offload text extraction tasks to the service.
  • Developer-Focused
    The service appears to be built with developers in mind, providing clear documentation and easy-to-use endpoints that streamline the process of adding OCR functionality to projects.
  • Lightweight Integration
    dOCR.dev is designed to be a lightweight solution that can be quickly adopted without heavy dependencies, making it suitable for projects that need OCR without the overhead of larger platforms.
  • Modern Tech Stack
    The service leverages modern web technologies and API standards, making it compatible with current development workflows and easy to use with popular programming languages and frameworks.

Possible disadvantages of dOCR.dev

  • Limited Market Presence
    dOCR.dev is a relatively niche and lesser-known OCR service compared to established players like Google Cloud Vision, AWS Textract, or Azure Computer Vision, which may raise concerns about long-term reliability and support.
  • Uncertain Scalability
    As a smaller service, it may not have the proven infrastructure to handle very large-scale or enterprise-level OCR workloads as reliably as major cloud providers.
  • Limited Community and Ecosystem
    With a smaller user base, there are fewer community resources, tutorials, third-party integrations, and Stack Overflow answers available compared to more established OCR solutions.
  • Feature Set May Be Limited
    Compared to comprehensive OCR platforms from major cloud providers, dOCR.dev may lack advanced features such as handwriting recognition, table extraction, form parsing, or multi-language support at the same depth.
  • Vendor Lock-in Risk
    Depending on a smaller, independent service for a critical feature like OCR introduces risk if the service discontinues, changes pricing dramatically, or experiences prolonged downtime without the redundancy guarantees of larger providers.

mdstill features and specs

  • Supported formats
    20+ (PDF, Word, Excel, PowerPoint, EPUB, HTML, CSV, JSON, Apple iWork)
  • Output format
    GitHub-flavored Markdown (GFM) with preserved tables, headers, structure
  • REST API
    Yes โ€” for RAG pipelines and batch automation
  • Token efficiency
    ~40% fewer tokens than raw text extraction
  • Privacy
    Files deleted immediately after processing โ€” no storage, no logging, no training
  • Pricing
    Free tier + Pro plans
  • LLM integrations
    ChatGPT, Claude, Gemini โ€” output tuned for AI context windows

Analysis of dOCR.dev

Overall verdict

  • dOCR.dev appears to be a developer-focused OCR API service offering document text extraction capabilities, suitable for teams needing programmatic OCR integration, though as a newer or niche tool it warrants evaluation against established alternatives like Google Vision, AWS Textract, or Tesseract for your specific accuracy, pricing, and scale requirements.

Why this product is good

  • Provides API-based OCR functionality for automating text extraction from documents and images
  • Likely offers straightforward integration for developers building document processing pipelines
  • May provide competitive pricing compared to major cloud provider OCR services
  • Could support various document formats and languages depending on implementation

Recommended for

  • Developers needing simple OCR API integration
  • Startups looking for cost-effective document processing solutions
  • Small to medium projects requiring basic text extraction from scanned documents
  • Teams wanting to avoid vendor lock-in with major cloud providers
  • Projects needing quick prototyping of OCR features before scaling to enterprise solutions

Analysis of mdstill

Overall verdict

  • I don't have verified information about mdstill.com in my knowledge base, so I can't confirm its legitimacy, quality, or reputation. Before using this service, you should independently research it.

Why this product is good

  • No reliable data available on this specific domain to assess product quality or service reliability
  • Unable to verify company background, ownership, or business history
  • No access to user reviews, ratings, or third-party evaluations for this site
  • Cannot confirm security practices, payment safety, or customer support quality

Recommended for

  • Anyone considering this site should first check independent review platforms like Trustpilot or Better Business Bureau
  • Users should verify the site's SSL certificate, contact information, and return policy before purchasing
  • Consider checking domain age and registration details via WHOIS lookup tools
  • Look for verified customer reviews on social media or forums before making a decision

Category Popularity

0-100% (relative to dOCR.dev and mdstill)

dOCR.dev

mdstill

Document Management
100 100%
Document Management
0% 0
Markdown Editor
0 0%
Markdown Editor
100% 100
Data Extraction
100 100%
Data Extraction
0% 0
PDF Conversion API
0 0%
PDF Conversion API
100% 100

Questions & Answers

As answered by people managing dOCR.dev and mdstill.

What makes your product unique?

mdstill's answer:

mdstill is built specifically for LLM and RAG workflows, not generic file conversion. Drop any of 20+ document formats (PDF, Word, Excel, PowerPoint, EPUB, and more) and get back clean, structure-preserving Markdown that's tuned for ChatGPT, Claude, Gemini context windows and vector-database ingestion. Tables stay intact, headers become linkable anchors, output is ~40% more token-efficient than raw text extraction. Free web tool + REST API โ€” humans and pipelines use the same engine.

Why should a person choose your product over its competitors?

mdstill's answer:

Alternatives fall into two camps: developer libraries that require setup, or enterprise SDKs that require a sales call. mdstill fills the middle: open a browser, drop a file, get Markdown in seconds โ€” and when you need to scale, the same conversion runs through a REST API. 20+ formats in one tool instead of picking a different parser per format. Tables survive the trip (most tools mangle them). Files are deleted immediately after processing. Free tier, no credit card, no signup for basic use.

How would you describe the primary audience of your product?

mdstill's answer:

Two overlapping groups. Developers building AI features โ€” engineers feeding documents into ChatGPT, Claude, or Gemini APIs; teams building RAG pipelines and AI agents who need reliable document ingestion. Knowledge workers and researchers โ€” Obsidian and Notion users importing legacy PDFs, students preparing papers for AI analysis, analysts converting spreadsheets for LLM review. Common thread: anyone who's discovered that pasting raw PDF text into an LLM loses tables and wastes tokens.

What's the story behind your product?

mdstill's answer:

mdstill started from a personal frustration: feeding documents into ChatGPT and Claude meant pasting messy PDF text with broken tables and lost structure, or paying for heavyweight enterprise tools just to preprocess a few files. The fix seemed obvious โ€” Markdown is what LLMs understand best, so the conversion should be a utility anyone can use, not a product you buy. mdstill was built to make high-quality document-to-Markdown preprocessing free and instant for everyone, with an API for teams who need to scale.

Who are some of the biggest customers of your product?

mdstill's answer:

mdstill launched publicly in April 2026 and is in the early-adopter phase. Currently used by individual developers, indie AI-tool builders, and small research teams โ€” customer logos will be added as early adopters opt in to share them.

Which are the primary technologies used for building your product?

mdstill's answer:

Python + FastAPI on the backend, Next.js + TypeScript on the frontend.

User comments

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What are some alternatives?

When comparing dOCR.dev and mdstill, you can also consider the following products

Mindee - Extract any data point, from any document, in a second

Firecrawl - Turn any website into LLM-ready data.

Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ€™ platform makes it straightforward and fast to create highly accurate Deep Learning models.

Reducto - Reducto is the complete agentic document platform for leading AI teams needing performance at enterprise scale.

DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.

Rossum - Rossum is AI-powered, cloud-based invoice data capture service that speeds up invoice processing 6x, with up to 98% accuracy. It can be easily customized, integrated and scaled according to your company needs.

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