Speech To Text
Top signal weightsIntegrations 0.16Package downloads 0.14Development activity 0.09Capabilities 0.08
Rank by intent
Ranking basisMost actively maintainedGithub activity 0.17Integrations 0.14Package downloads 0.12Capabilities 0.07
Same facts, re-weighted. Only the weighting changes, never the underlying evidence.
| # | Software | Score | Confidence |
|---|---|---|---|
| 1 | SpeechmaticsMultilingual speech-to-text and text-to-speech APIs deployable in cloud, on-premises, or on-device environments | 81 | medium · 55% |
| 2 | AssemblyAIAPIs for converting audio to text and building voice-driven applications with real-time and recorded processing | 80 | medium · 60% |
| 3 | whisper.cpp | 69 | low · 29% |
| 4 | DeepgramConversation-aware voice AI for transcription and synthesis at scale | 68 | low · 42% |
| 5 | Amazon TranscribeAutomatic speech recognition service that converts spoken audio into written text | 65 | low · 34% |
| 6 | faster-whisper | 35 | low · 33% |
| 7 | Vosk | 34 | low · 34% |
| 8 | SpeechBrain | 29 | low · 30% |
| 9 | Kaldi | 13 | low · 20% |
Ranked by the Vioscale composite: independent signals, not user reviews. See the method.
Speech To Text compared
Head-to-head on the attributes that matter here, with a source and date on every value.