SpeechText.AI and WhisperLiveKit are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. SpeechText.AI: AI speech-to-text service that transcribes interviews, meetings and podcasts with speaker ID, domain models and searchable audio. WhisperLiveKit: Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription. They overlap on ai-meeting-assistants, ai-transcription, so the right pick depends on team size, budget, and which meeting workflows you automate.
How Hosiqo compares and tests toolsFinal recommendation
For ai-meeting-assistants, ai-transcription workflows, shortlist SpeechText.AI when transcribing research and journalistic interviews with privacy requirements matters most, and WhisperLiveKit when self-hosted real-time meeting transcription with speaker labels matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
AI speech-to-text service that transcribes interviews, meetings and podcasts with speaker ID, domain models and searchable audio.
Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription.
SpeechText.AI is a free tier with paid upgrades (freemium); WhisperLiveKit is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | SpeechText.AI | WhisperLiveKit |
|---|---|---|
| Core capability | Automatic transcription of uploaded audio and video files | Real-time streaming speech-to-text with low latency over WebSocket |
| Standout feature | Speaker identification across multi-participant recordings | Real-time speaker diarization to distinguish multiple speakers |
| Team usage | Support for 30+ languages with regional accents | FastAPI backend with OpenAI-compatible REST API and Deepgram-compatible WebSocket protocol |
| Integrations | Domain-optimized models for fields like healthcare, finance and legal | Multiple ASR backends (Whisper variants, Voxtral, Qwen3-ASR) and 200+ language support with translation |
| Languages & capture | Interactive transcript editing and verification tools | Included customizable HTML/JavaScript web interface and Docker images (GPU and CPU) |
| Best-fit workflow | Natural-language search inside audio recordings | Voice activity detection and multi-user support on a single backend |
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.
WhisperLiveKit
Choose WhisperLiveKit if you need self-hosted real-time meeting transcription with speaker labels — strengths include fully open source (apache 2.0) and self-hostable for private, on-premise transcription.
SpeechText.AI
WhisperLiveKit
It depends on your workflow. SpeechText.AI is strong for transcribing research and journalistic interviews with privacy requirements, while WhisperLiveKit is strong for self-hosted real-time meeting transcription with speaker labels. Both transcribe and summarize meetings.
SpeechText.AI is a free tier with paid upgrades and WhisperLiveKit is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.