Context.dev vs Fellow 5.0: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Context.dev and Fellow 5.0 — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Context.dev
Context.dev
A single REST API that turns any URL into LLM-ready markdown, crawls whole sites, and returns brand, logo, and structured company data.
Key features
- Web Scraping API: Converts any URL into markdown, HTML, raw bytes, sitemaps, screenshots, or images, with JS rendering, anti-bot bypass, and premium proxies included at one credit per page.
- Site Crawling: Crawls an entire domain page by page so teams can build knowledge bases or ground RAG pipelines in fresh content instead of a model's training cutoff.
- Schema-Based Extraction: The Extract endpoint crawls a site and returns structured data shaped to a JSON Schema you supply, removing hand-written parsers.
- Answers Endpoint: Takes a research task plus the JSON shape you want back, researches the web, and returns a structured answer in one API call, with a cheaper fast mode.
- Brand Intelligence: Retrieves logos, colors, fonts, styleguides, descriptions, socials, and addresses for a domain, powering programmatic theming and automated brand kits.
- Logo Link CDN: Serves any company's logo through a direct image URL on a separate quota that does not consume API credits.
- Entity Enrichment and Classification: Extracts products, enriches people from an email or profile URL, searches company news, and returns NAICS/SIC codes or transaction identification.
- SDKs, MCP Server, and CLI: Official TypeScript, Python, Ruby, Go, and PHP SDKs plus an MCP server and CLI let agents and applications integrate without custom HTTP plumbing.
Best for
- Grounding AI Agents: Give an LLM agent live web access so answers reflect the current web rather than the model's training cutoff.
- RAG Knowledge Bases: Crawl documentation sites, academic journals, or PDFs at scale to build and refresh a retrieval corpus.
- Support Chatbot Ingestion: Turn a customer's whole website into the knowledge base behind an AI support bot, as SiteGPT does after migrating from a competing scraper.
- Automated Brand Kits and Theming: Pull a company's logo, colors, and fonts from its domain to theme an app or generate on-brand assets programmatically.
- Onboarding Autofill: Enrich a new signup's company profile from their email domain so onboarding forms prefill instead of asking users to type.
- Website Change Monitoring: Run concurrent monitors against competitor or supplier pages and react when content changes.
- Structured Research Pipelines: Use the Answers endpoint to run repeatable web research tasks that return machine-readable JSON for downstream automation.
Fellow 5.0
Fellow
AI meeting assistant that transcribes, summarizes, and extracts insights from meetings with human-level accuracy.
Key features
- Meeting Transcription: Converts spoken meeting audio into text transcripts with human-level accuracy, reducing manual note-taking effort.
- Automated Summaries: Generates concise, readable summaries of meeting content to quickly convey key points and outcomes.
- Insights Extraction: Identifies and surfaces decisions, action items, and important moments from meeting content to improve follow-up.
- Centralized Notes: Consolidates transcripts and summaries into an organized repository for easy retrieval and reference across meetings.
- Start-for-Free Onboarding: Offers a free entry point to try automated meeting notes and summaries before committing to paid plans.
- Automated transcription and human-level summaries
- Custom AI recaps and meeting metadata via API
- Bot and botless recording options
- Action item detection and task workflows
- Enterprise controls: SSO, audit logs, data residency
- Integrations and webhooks for automating downstream workflows
- NuGet-distributed packages for core DICOM functionality and optional codecs/renderers
- Supports .NET Framework, .NET Core/.NET (including Xamarin) with async/await APIs
- Pluggable image rendering options (internal IImage-style, Desktop-style, ImageSharp-style)
- Native codec support via wrapped C/C++ codecs (fo-dicom.Codecs) for high-performance transcoding
- Transcoder management customization via DicomSetupBuilder and dependency registration
- Cross-platform support: Windows, Linux, macOS on x64 and Arm64 (tested on multiple OS versions)
- Temporary file management and configuration hooks for codec/transcoding behavior
- Documentation and API docs available via GitHub pages and repository READMEs
Best for
- Weekly Team Standups: Automatically transcribe standups and produce a summary with assigned action items to speed follow-up and accountability.
- Client Meetings: Capture decisions and next steps in client calls so sales and account teams can quickly prepare accurate post-meeting recaps.
- Executive Briefings: Produce concise summaries and highlight extracted insights for leadership who need quick overviews of longer meetings.
- Onboarding and Knowledge Transfer: Record and summarize training or handover sessions so new hires can revisit clear, searchable notes.
- Compliance and Record-Keeping: Keep organized transcripts and summaries of important meetings for auditing, legal, or regulatory needs.
- Team meeting documentation and follow-ups
- 1:1s and performance coaching with structured notes
- Sales and customer call coaching and analysis
- Compliance-sensitive meeting capture with enterprise controls
- Automating post-meeting workflows and task creation
- Building PACS viewers and DICOM image viewers for desktop and web using .NET
- Server-side DICOM processing and transcoding in medical imaging pipelines
- Integrating DICOM support into mobile apps via Xamarin
- High-performance codec/transcode workflows for DICOM storage and transfer
- Custom image-rendering pipelines using alternate renderer backends (Desktop, ImageSharp)