Software Alternatives, Accelerators & Startups

mdstill VS api-usage

Compare mdstill VS api-usage and see what are their differences

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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

api-usage logo api-usage

Track your OpenAI API token usage & cost.
  • 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.

  • api-usage Landing page
    Landing page //
    2023-07-26

mdstill

$ Details
freemium
Platforms
Web REST API
Release Date
2026 April

api-usage

Pricing URL
-
$ Details
-
Platforms
-
Release Date
-
Categories -

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

api-usage features and specs

  • API Discovery
    Provides a centralized platform to discover and explore various APIs, making it easier for developers to find services that fit their needs.
  • Usage Insights
    Offers insights into API usage patterns, which can help developers and businesses understand trends and optimize their integrations.
  • Comparison Features
    Allows users to compare different APIs based on various metrics, aiding in more informed decision-making when selecting an API.
  • Community Contributions
    May include community-driven content such as reviews or ratings, providing real-world feedback on API performance and reliability.
  • Educational Resource
    Acts as a resource for developers new to APIs, offering explanations and guidance on how to effectively use various APIs.

Possible disadvantages of api-usage

  • Limited API Coverage
    The platform might not include all available APIs, potentially missing niche or newly released services that could be relevant to some users.
  • Outdated Information
    Information on the platform may not be updated in real-time, leading to discrepancies between the listed data and the actual current state of an API.
  • Lack of Personalization
    The platform may not offer personalized recommendations based on specific user needs or previous usage patterns, limiting its utility for tailored searches.
  • Dependency on User Input
    If the platform relies on user-generated content for reviews or ratings, the quality and reliability of this information can vary significantly.
  • Potential Overwhelm
    With numerous APIs and data points available, new users might find it challenging to navigate and extract the most relevant information for their specific use case.

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

Analysis of api-usage

Overall verdict

  • Without independent verification, api-usage (apiusage.info) cannot be confidently confirmed as a good or reliable service since there is insufficient public information, reviews, or track record available to assess its quality, security, and support.

Why this product is good

  • Limited publicly available information makes it difficult to verify claims about the service
  • No substantial user reviews or third-party assessments found to confirm reliability or performance
  • Unclear track record regarding uptime, customer support quality, or data security practices
  • Potential newer or niche player in the API monitoring/usage tracking space with limited market validation

Recommended for

  • Users willing to conduct their own due diligence and testing before committing
  • Those seeking a possibly low-cost or niche alternative to established API usage tracking tools
  • Developers comfortable trying newer services and providing feedback
  • Not recommended for enterprises requiring proven, well-documented vendor reliability without further research

Category Popularity

0-100% (relative to mdstill and api-usage)
Markdown Editor
100 100%
0% 0
PDF Conversion API
100 100%
0% 0
Developer Tools
100 100%
0% 0
Markdown Converter
100 100%
0% 0

Questions & Answers

As answered by people managing mdstill and api-usage.

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 mdstill and api-usage, you can also consider the following products

Firecrawl - Turn any website into LLM-ready data.

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

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

Parsio.io - No-code email & PDF parser

ConvertAPI - High-Performance File Conversion API

CloudConvert - convert anything to anything - more than 200 different audio, video, document, ebook, archive, image, spreadsheet and presentation formats supported.