Sourcegraph vs Otter.ai
A 2026 side-by-side comparison of Sourcegraph and Otter.ai — pricing, key features, platforms, API access, and the trade-offs of each, based on data collected from their official sites.

Sourcegraph
One platform to understand, oversee, and evolve the world's most complex codebases.

Otter.ai
AI Notetaker, Transcription, Insights, and Conversational Knowledge Engine
Tagline
One platform to understand, oversee, and evolve the world's most complex codebases.
AI Notetaker, Transcription, Insights, and Conversational Knowledge Engine
Pricing
Rating
Platforms
API
Open source
Description
Sourcegraph is a Code Intelligence platform that deeply understands your code, no matter how large or where it's hosted. It allows developers to rapidly search, write, and understand code by bringing insights from their entire codebase, featuring built-in AI assisted tools like Cody and model contexts for developer applications.
Otter.ai uses artificial intelligence to empower users with real-time transcription meeting notes that are shareable, searchable, accessible, and secure. It offers AI meeting summaries, automated follow-ups, and tool integrations.
Key features
- AI-powered Deep Search to explore codebases using natural language
- Cody AI code assistant to read, write, and understand code faster
- Universal Code Search across all repositories, branches, and hosts
- Batch Changes to roll out and track large-scale migrations across repositories
- Sourcegraph MCP Server to connect AI agents to code intelligence
- Sourcegraph CLI (src) for command-line search and admin workflows
- Streaming Search API for high performance interactive queries
- Analytics API to programmatically access usage metrics
- GraphQL Debug API for diagnostics and diagnostics tooling
- Incoming and Outgoing webhooks support
- Editor integrations with VS Code, JetBrains, and Gitpod
- Real-time transcription
- Automated AI meeting summaries
- Live AI chat
- Action items generation
- CRM sync
- Slide capture
- Audio & video file import
- Follow-up email generation
- Desktop application
- Chrome extension
- Integrations with Zoom, Google Meet, and Teams
Pros
- AI-powered Deep Search allows developers to ask natural language questions and get detailed answers from an AI agent.
- Provides code search across all repositories, branches, and code hosts.
- Cody, an AI coding assistant, helps developers to write, fix, and maintain code effortlessly.
- Includes editor integrations for major tools like Visual Studio Code, JetBrains IDEs, and Gitpod.
- Enables Batch Changes to find, roll out, and track large-scale migrations and changes across multiple repositories.
- Features a Model Context Protocol (MCP) Server to connect AI agents to code search and analysis capabilities.
- The streaming search API offers short times to first results and supports running exhaustive searches.
- Command-line interface (src CLI) lets developers search code and administer repositories.
- Enterprise plan covers volume pricing, single-tenant cloud deployment, and 24x5 support.
- Integrates seamlessly with popular platforms like Zoom, Google Meet, Microsoft Teams, and Slack.
- Provides up to 6,000 monthly transcription minutes and support for 4 hours per conversation on specific plan levels.
- Allows users to import and transcribe unlimited audio or video files.
- Captures meeting notes and slides automatically via proprietary real-time transcription.
- Enables recording on desktop with headphones on and without requiring a bot to join the meeting.
- Supports automatic exports of transcripts, summaries, and metadata to Airtable and Amazon S3.
- Extracts conversation information instantly using interactive AI Chat context queries.
- Offers dedicated mobile applications for both iOS and Android devices, as well as a Chrome extension.
Cons
- No free pricing tier is listed or advertised on the pricing page.
- Does not transparently publish flat-rate pricing metrics or subscription costs on their pricing page.
- The GraphQL API has no backwards-compatibility guarantees and may not remain stable across releases.
- No dedicated mobile applications (iOS or Android) are listed on the site.
- Does not guarantee compatibility of the streaming search API with third-party server-sent event clients.
- The GraphQL debug API enforces resource cost limits such as depth limits, field count limits, and alias limits.
- Desktop application requires macOS 12.3 or later, limiting usability on older Apple systems.
- Desktop application is restricted to Windows 10 or later on PC systems.
- Exact pricing tier dollar amounts for paid plans are not disclosed in the provided page texts.
- No public developer API documentation or REST API details are referenced on the main pages.
- No explicit compliance certifications (such as SOC2, ISO, or HIPAA) are detail-listed in the scraped texts.
Pricing plans
Which one should you pick?
- Choose Sourcegraph if you need AI-powered Deep Search to explore codebases using natural language and API access.
- Choose Otter.ai if you need Real-time transcription.
- On budget: Sourcegraph is paid, Otter.ai is freemium.