{"id":"deepgram-api","name":"Deepgram API","homepage":"https://developers.deepgram.com","repo_url":"https://github.com/deepgram/deepgram-python-sdk","category":"ai-ml","subcategories":["speech-to-text","audio","transcription","real-time"],"tags":["deepgram","speech-to-text","transcription","audio","real-time","rest-api","sdk","websocket","voice"],"what_it_does":"Deepgram's speech-to-text API offering fast, accurate audio transcription with real-time streaming, speaker diarization, sentiment analysis, and language detection.","use_cases":["Transcribing audio files for agent processing and analysis","Real-time speech-to-text for voice-enabled AI agents","Call center audio analysis and automated quality scoring","Meeting transcription with speaker identification","Building voice interfaces for conversational AI systems"],"not_for":["Text-to-speech (use ElevenLabs or similar)","Very low-budget projects (costs add up for long audio)","Languages with limited training data (accuracy varies by language)","Offline/edge transcription without internet connectivity"],"best_when":"An agent needs to transcribe speech with high accuracy and speed, especially for real-time voice applications or batch audio processing.","avoid_when":"You need text-to-speech, offline transcription, or have very tight latency requirements beyond Deepgram's capabilities.","alternatives":["elevenlabs-api","replicate-api"],"af_score":81.6,"security_score":78.0,"reliability_score":null,"package_type":"mcp_server","discovery_source":["github"],"priority":"low","status":"evaluated","version_evaluated":"current","last_evaluated":"2026-03-01T09:50:05.484209+00:00","performance":{"latency_p50_ms":300,"latency_p99_ms":1500,"uptime_sla_percent":99.9,"rate_limits":"100 concurrent streams for real-time, generous batch limits","data_source":"llm_estimated","measured_on":null}}