01 AssemblyAI
Voice AI API for developers: speech-to-text, speaker diarization, audio intelligence, and LLM-over-audio with per-hour usage billing
AI Audio & Music from $0.15/hr free tier: yes Verified JUN 23, 2026
Deepgram alternatives
4 alternatives compared · prices last verified Jul 3, 2026 · how we verify
AssemblyAI is the top Deepgram alternative in our directory: it covers the same category (AI Audio & Music), starts at $0.15/hr, and has a free tier. All 4 alternatives below are compared on pricing verified against the official pricing pages, on the dates shown.
Ranked by category overlap with Deepgram, free-tier availability, then lowest verified starting price — computed from our verified data, never sponsorships.
Deepgram alternatives compared
| Alternative | Category | Starting price | Free tier | Price verified |
|---|---|---|---|---|
| AssemblyAI | AI Audio & Music | $0.15/hr | yes | Jun 23, 2026 |
| ElevenLabs | AI Audio & Music | $6/mo | yes | Jul 3, 2026 |
| Murf AI | AI Audio & Music | $19/mo | yes | Jun 11, 2026 |
| Resemble AI | AI Audio & Music | $0.0005/sec | no | Jun 30, 2026 |
Each alternative, in brief
02 ElevenLabs
AI voice platform for text-to-speech, voice cloning, and conversational agents in 70+ languages
AI Audio & Music from $6/mo free tier: yes Verified JUL 3, 2026
03 Murf AI
AI text-to-speech studio with 200+ voices across 35+ languages for voiceovers, dubbing, and voice agents
AI Audio & Music from $19/mo free tier: yes Verified JUN 11, 2026
04 Resemble AI
AI voice platform for voice cloning, text-to-speech, and real-time voice agents, plus deepfake detection and audio watermarking
AI Audio & Music from $0.0005/sec free tier: no Verified JUN 30, 2026
When to stay with Deepgram
Documented strengths from our Deepgram review — switching isn't always the right call:
- Usage-based pricing with no minimums and $200 in free credits to start
- Low streaming latency (roughly 200-300ms) suits real-time voice agents
- Self-hosting, SOC 2, and on-prem options make it viable for regulated, high-volume workloads