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Vapi records 662,301 monthly visits with -11.4% month-over-month growth and Freemium pricing. Whisper (OpenAI) records 0 monthly visits with — growth and Free pricing.
Build, test, and deploy production-grade voice AI agents over API
OpenAI's open-source speech recognition model for transcription, translation and language ID
| Dimension / Metric | ||
|---|---|---|
| Official Domain | vapi.ai | github.com |
| Pricing Model | Freemium | Free |
| Monthly Visits | 662.3K (662,301) | 0 (0) |
| MoM Traffic Delta | -85.53K (-11.4%) | 0 (—) |
| Primary Market & Share | 🇺🇸 United States (44%) | 🌐 Global (—) |
| Direct Visits / mo | 377.32K | 0 |
| User Rating | 4.5 | 4.8 |
| Supported Platforms | Website | Open Source |
Build, test, and deploy production-grade voice AI agents over API
Configure speech recognition, an LLM reasoning layer and text-to-speech through one API instead of integrating several vendors separately.
The platform handles real-time audio streaming, interruption handling and call state so conversations feel natural and responsive.
Provision Vapi phone numbers or bring Twilio, Vonage or Telnyx, and support both inbound and outbound calling from the same agent.
Simulate calls before launch, then track transcripts, effectiveness metrics and compliance signals across every production call.
OpenAI's open-source speech recognition model for transcription, translation and language ID
One Transformer handles transcription, speech translation into English, language identification and voice activity detection, selected through special task tokens.
Choose from tiny, base, small, medium, large and turbo checkpoints, with English-only .en variants, to balance accuracy against VRAM and speed.
Multilingual checkpoints transcribe and translate dozens of languages, with automatic language detection on mixed-language audio.
Install via pip with openai-whisper and transcribe files from the terminal or from your own Python code, with ffmpeg handling audio decoding.
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