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Speech To Markdown vs tavily: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Speech To Markdown and tavily — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Speech To Markdown logo

Speech To Markdown

xajik

Free

Free, 100% local macOS menu-bar app that turns speech into structured markdown using whisper.cpp and any local LLM.

Key features

  • 100% Local Pipeline: Runs whisper.cpp for speech-to-text and any local LLM server for structuring — no cloud calls and no API keys required.
  • Global Dictation Hotkey: Press ⌘⌥] in any app to have the transcript typed straight at your cursor, works in Terminal, browser, Slack, and more.
  • Agent Mode Live Structuring: A floating capsule streams your voice through the LLM into a real-time Markdown, plain text, or HTML document.
  • One-Line Install: A single curl-piped script installs xcodegen, whisper-cpp, and ffmpeg via Homebrew, then builds the app from source into /Applications.
  • iOS Companion: A fully offline iPhone/iPad app that uses Apple Intelligence on iOS 26+ (iPhone 15 Pro and up).
  • Multiple Output Formats: Format, edit, or append the LLM output as Markdown, plain text, or HTML from a single control panel.
  • Send-Now Flush: The Send (⏎) control flushes the current buffer to the LLM immediately instead of waiting for the pause/word-count threshold.
  • Model Picker: Download and swap Whisper models from Settings — Base (~150 MB) is a good starting point.

Best for

  • Private Meeting Notes: Dictate meeting recaps on a Mac with sensitive content that must never leave the device.
  • Voice-Driven Coding Comments: Speak function docstrings or PR descriptions into your editor at the cursor via Global Dictation.
  • Structured Journaling: Use Agent Mode to ramble freely and get a clean, headed Markdown document out in real time.
  • Offline Field Notes on iOS: Capture voice notes on an iPhone with no signal, structured into markdown using on-device Apple Intelligence.
  • Slack / Email Long-Form: Dictate long replies straight into Slack or Mail without opening a separate transcription tool.
View Speech To Markdown details
tavily logo

tavily

Tavily

Freemium

Real-time web search and content extraction APIs optimized for LLM agents and RAG workflows.

Key features

  • Real-time Search Engine: Low-latency, relevance-optimized web search API that returns contextual results tailored for LLM consumption and agent workflows.
  • Intelligent Content Extraction: Extracts structured data and summarized content from URLs, returning relevant passages, metadata, and evidence for use in RAG and agent responses.
  • Crawl and Map Capabilities: Configurable site crawling with depth/limit and instruction controls to discover, index, and map site structure and content for downstream use.
  • Ranked Results and Filtering: AI-driven ranking and filtering options (topics, domains, date ranges, result limits) to prioritize the most relevant web content for queries.
  • SDKs and Language Support: Official client libraries (Python and TypeScript/JavaScript) and examples for quick integration into applications, agents, and MCP servers.
  • MCP Integration Tools: Atomic tool endpoints (e.g., web_search, answer_search, news_search) and example MCP servers to expose Tavily search capabilities to LLM toolchains.
  • Credit-Based Usage Model: API access controlled via API keys and credits, with documentation and client wrappers that surface credits usage and request parameters.
  • Developer-Focused Documentation and Examples: Guides, tutorials, and example repositories (conversational agents, notebooks) to accelerate adoption in production agents and RAG systems.
  • Real-time web search API optimized for relevancy and low latency
  • AI-powered content extraction that returns structured data from URLs
  • Web crawler with configurable depth, limit and instructions
  • Web mapping tool to create structured site maps
  • MCP server distribution exposing atomic tools (search, extract, map, crawl)
  • Official SDKs: Python wrapper (tavily-python) and TypeScript/JavaScript library
  • Search options: topic, time_range/days, search_depth, max_results, include/exclude domains, include images/descriptions
  • Authentication via API key; supports environment variable or .env configuration
  • Remote MCP server option to avoid local installation
  • ESM-only JS package compatible with Node.js >= 18, bun, deno, Cloudflare Workers

Best for

  • RAG Augmentation: Enrich vector-retrieval or knowledge-store results by fetching fresh, ranked web passages and structured extracts to improve answer accuracy.
  • Agent Tooling: Provide LLM agents with an external web-search tool for real-time facts, citations, and evidence when answering user queries or performing tasks.
  • Conversational Agents with Live Web Context: Build chatbots that fuse conversation history with up-to-date web results (search + extract + crawl) to maintain accuracy on recent events.
  • News Monitoring and Summarization: Search recent news, extract key content and metadata, and generate evidence-backed summaries or alerts for trending topics.
  • Site Understanding & Data Extraction: Crawl and map sites to extract structured product, article, or metadata for analytics, indexing, or content migration tasks.
  • MCP Server Deployment: Deploy Tavily-backed MCP servers to expose atomic search and answer tools to LLM orchestration systems and toolchains.
  • Grounding LLM agents with real-time web results for up-to-date responses
  • Retrieval-Augmented Generation (RAG) workflows for up-to-date context
  • Conversational agents that fuse chat with live web search and extracted evidence
  • News monitoring and discovery with AI-extracted relevant content
  • Web data extraction and structured scraping for analytics and knowledge bases
  • Integrating web search/extract into MCP-based agent frameworks and Neo4j knowledge graphs
View tavily details