Deepgram vs Helicone

Deepgram

Helicone

Deepgram · 15 features

• Aura TTS — Low-latency text-to-speech (<250ms).
• Data Residency — EU / US / custom regions.
• Diarization — Speaker identification.
• Intent Detection — Detect speaker intents automatically.
• Keyterm Prompting — Boost accuracy for proper nouns + domain terms.
• Language Detection — Auto-detect spoken language.
• On-Prem Deployment — Enterprise: run Deepgram in your infra.
• PII Redaction — Auto-redact sensitive info.
• Pre-recorded STT — Transcribe audio/video files.
• Sentiment Analysis — Per-segment sentiment scores.
• Smart Format — Numbers, dates, times auto-formatted.
• Streaming STT — Realtime WebSocket-based transcription.
• Summarization — Automatic transcript summaries.
• Topic Detection — Auto-extract conversation topics.
• Voice Agent API — Unified STT + LLM + TTS for voice bots.

Helicone · 16 features

• Alerts — Thresholds on error rate, latency, cost, usage. Pro+.
• Async Logging — Log AFTER the LLM call via SDK — zero added latency.
• Cost Tracking — Automatic cost calculation per call by provider/model.
• Dashboard — Request tables, aggregate metrics, cost breakdowns.
• Evaluators — LLM-as-judge + custom evaluators on runs.
• Experiments — A/B test different models/prompts.
• HQL (SQL over traces) — Query your logged data with SQL. Pro+.
• PII Redaction — Automatically scrub emails, credit cards, etc. from logs.
• Prompt Caching — Cache identical requests → save money.
• Prompts & Versions — Store + version + A/B test prompts.
• Proxy Mode — 1-line integration via base URL swap. Captures all requests.
• Rate Limiting — Per-user + per-key rate limit policies.
• Reports — Scheduled email reports with KPIs.
• Self-Hosting — Docker + k8s deployment.
• Sessions — Group related calls (chat sessions, agent runs).
• User Metrics — Per-user cost + usage segmentation.