AssemblyAI vs Buzz

AssemblyAI provides Voice AI models and APIs for speech-to-text, speech understanding, and voice applications. Its Speech Understanding API can identify and diarize speakers, summarize speech, extract action items and key phrases, detect sentiment, entities, and topics, and handle formatting, language detection, translation, PII redaction, and content moderation. The platform lists support for 99 languages and translation into 86. It offers streaming and voice-agent latency below 300ms and states that it processes more than 800 million API calls per month. Use its managed cloud or self-host models in your own environment; the service also lists API access and integrations including Twilio, Zoom RTMS, Zapier, and LangChain. Security options include TLS 1.2+ in transit, AES-256 at rest, zero data retention, and opting out of model training. A free tier is available. Pay-as-you-go billing is based on usage, with monthly invoices and no minimum commitments. Universal-2 is listed at $0.15 per hour of audio; Universal-3.6 Pro Realtime is $0.45 per hour.

Buzz is a free desktop application for transcribing and translating audio on a personal computer, using OpenAI’s Whisper. It accepts audio and video files, YouTube links, and live microphone audio. Its tools include speech separation, speaker identification, a searchable transcript viewer, keyboard shortcuts, and a watch folder for automatic transcription. Transcripts can be exported as TXT, SRT, or VTT files. Buzz supports Whisper, Whisper.cpp, Faster Whisper, and compatible models from Hugging Face. After downloading the necessary models and copying them to a computer, it can work without an internet connection; it can also use the OpenAI API for remote recognition when an API key is set in Preferences. A command-line interface supports scripting, while a plugin system includes examples such as AI summaries and transcript resizing. Smaller models run faster but may be less accurate; larger models need more capable hardware or more time. Buzz requires AVX2 CPU support. On macOS it requires Apple silicon, and the Windows app is unsigned and may trigger an installation warning.