Speakr and SpeechText.AI are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Speakr: Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search. SpeechText.AI: AI speech-to-text service that transcribes interviews, meetings and podcasts with speaker ID, domain models and searchable audio. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
For ai-meeting-assistants workflows, shortlist Speakr when privacy-conscious teams self-hosting transcription and summaries for internal meetings matters most, and SpeechText.AI when transcribing research and journalistic interviews with privacy requirements matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search.
Configurable AI models compatible with OpenAI, OpenRouter, and local modelsCustomizable summaries plus an action-items view for decisions and tasksMulti-user support with SSO, group workspaces, and admin dashboard
AI speech-to-text service that transcribes interviews, meetings and podcasts with speaker ID, domain models and searchable audio.
Automatic transcription of uploaded audio and video filesDomain-optimized models for fields like healthcare, finance and legalExport to TXT, PDF and DOCX with EU-based data hosting
Speakr is a free tier with paid upgrades (freemium); SpeechText.AI is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Self-hosted transcription with automatic language detection
Automatic transcription of uploaded audio and video files
Standout feature
Optional AI-powered speaker diarization
Speaker identification across multi-participant recordings
Team usage
Customizable summaries plus an action-items view for decisions and tasks
Support for 30+ languages with regional accents
Integrations
Per-recording chat and an Inquire Mode for semantic search across the whole library
Domain-optimized models for fields like healthcare, finance and legal
Languages & capture
System and browser-tab audio capture
Interactive transcript editing and verification tools
Best-fit workflow
Multi-user support with SSO, group workspaces, and admin dashboard
Natural-language search inside audio recordings
Best for
Speakr
Choose Speakr if you need privacy-conscious teams self-hosting transcription and summaries for internal meetings — strengths include runs entirely on the user's own infrastructure for full data control.
SpeechText.AI
Choose SpeechText.AI if you need transcribing research and journalistic interviews with privacy requirements — strengths include domain-specific models can improve accuracy on specialized terminology.
Pros & cons
Speakr
+ Runs entirely on the user's own infrastructure for full data control
+ Action-item extraction and per-recording chat go beyond plain transcripts
- Current releases are alpha-stage and may not be production-stable
SpeechText.AI
+ Domain-specific models can improve accuracy on specialized terminology
+ EU hosting and GDPR-aligned data residency for privacy-sensitive work
- Works from uploaded recordings rather than joining live meetings
FAQ
Is Speakr or SpeechText.AI better for AI meeting notes?
It depends on your workflow. Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings, while SpeechText.AI is strong for transcribing research and journalistic interviews with privacy requirements. Both transcribe and summarize meetings.
How do Speakr and SpeechText.AI compare on price?
Speakr is a free tier with paid upgrades and SpeechText.AI is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Can I use both Speakr and SpeechText.AI?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.