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

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

Fullstory logo

Fullstory

FullStory

Freemium

Behavioral data platform that records user sessions and surfaces sentiment and insights to improve product experience.

Key features

  • Session Replay: Continuously records user sessions (clicks, scrolls, page transitions, input) into replayable, timestamped videos with direct links to review exact user interactions for debugging and UX analysis.
  • Behavioral Event Capture: Captures rich event streams and structured custom events with properties and schemas, enabling teams to track actions, attributes, and conversion steps across web and mobile.
  • SDKs & APIs: Provides official Browser, NodeJS, and mobile SDKs plus HTTP/server APIs for initializing capture, tracking custom events, creating users/events, and programmatic access to session and segment data.
  • Searchable Segments & Event Querying: Lets users search and filter sessions by custom event properties, user attributes, and behavior to build segments of users who experienced specific flows or issues.
  • Warehouse & Data Integration: Offers tooling and packages (including an official dbt package and export utilities) to move FullStory events into data warehouses and integrate behavioral data into BI workflows.
  • Privacy Controls & Data Governance: Includes privacy and masking controls, allowlists/deny-lists, and per-session privacy settings to protect sensitive user data while still collecting actionable behavioral signals.
  • Developer Tooling & Middleware: Supplies middleware (e.g., Segment middleware), SPA-friendly browser SDKs, and client/server libraries to simplify integration into single-page apps, mobile apps, and analytics stacks.
  • Session replay capturing full user interactions (clicks, scrolls, inputs) for playback
  • Custom event tracking with schema overrides and searchable events
  • Browser SDK (@fullstory/browser) with init() and FullStory global/API (FS) usage
  • Server-side NodeJS SDK for server-to-server HTTP API calls (users, events, batch import jobs)
  • Mobile SDKs and mobile-specific APIs (iOS, Android, React Native)
  • HTTP APIs and developer documentation for capturing data, retrieving sessions, and managing privacy
  • Integrations and middleware (e.g., Segment middleware for Android) to forward events and embed replay links
  • Data export and warehouse integrations (Anywhere: Warehouse) and a dbt package for downstream analytics
  • Real-time activation integrations (Anywhere: Activation) for driving experiences
  • Privacy controls and mobile-only methods (setting/removing attributes, resetting idle timer, class management)

Best for

  • Bug reproduction and triage: Engineers and QA replay exact user sessions to reproduce errors, observe the sequence of actions leading to a bug, and correlate with console or custom event data.
  • Conversion funnel optimization: Product teams identify where users drop off in multi-step flows by filtering sessions and events, then iterating on UX changes informed by real behavior.
  • Product research and UX validation: Researchers observe real user interactions and sentiment patterns to validate hypotheses, discover friction points, and prioritize features or design changes.
  • Analytics enrichment and BI: Data teams export FullStory events to warehouses using the dbt package and export utilities to join behavioral data with product and transactional datasets for deeper analysis.
  • SPA and mobile instrumentation: Developers integrate the FullStory Browser SDK or mobile SDKs (and Segment middleware) to ensure accurate session capture in single-page apps and native mobile applications.
  • Customer support augmentation: Support teams attach session replay links to tickets, quickly see what a user experienced, and provide faster, more context-aware resolutions.
  • Feature rollout monitoring: Product and engineering monitor adoption and unexpected behaviors after releases by tracking custom events and segmenting affected sessions or cohorts.
  • Product analytics and feature usage measurement via custom events and properties
  • UX research and usability testing using session replay to reproduce user flows and issues
  • Customer support and troubleshooting by locating sessions that match search criteria and viewing replays
  • Conversion funnel analysis by correlating events and session behaviors
  • Data engineering and analytics: exporting FullStory events to data warehouses and modeling with dbt
  • Real-time personalization and activation by integrating FullStory session context into downstream systems
  • Server-to-server automation for user and event management using the NodeJS SDK and HTTP APIs
View Fullstory details
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