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The Speech-to-Text API Cost calculator estimates the expense of transcribing audio using services like OpenAI Whisper API, Deepgram, AssemblyAI, Google Cloud Speech-to-Text, and AWS Transcribe. It covers both batch transcription and real-time streaming pricing.
Формула
- D
- Audio Duration (minutes) — Total audio duration to transcribe
- P
- Price per Minute ($/minute) — Service rate per minute of audio
- F
- Features (list) — Additional features (diarization, timestamps, language detection)
- M
- Mode (batch/streaming) — Batch transcription vs. real-time streaming
Водич корак по корак
- 1Enter the total audio duration to transcribe (minutes or hours)
- 2Select the speech-to-text service and quality tier
- 3Specify features needed: speaker diarization, timestamps, language detection
- 4View cost comparison across providers with feature parity notes
Worked Examples
Common Mistakes to Avoid
- ✕Not checking whether pricing includes speaker diarization and timestamps or if those are add-on features
- ✕Comparing batch pricing to real-time streaming pricing, which is typically 20-40% more expensive
- ✕Forgetting about audio preprocessing costs (format conversion, silence trimming) that can reduce billable minutes
Frequently Asked Questions
Which speech-to-text service is cheapest?
For batch transcription, Deepgram Nova-2 is typically cheapest at $0.0043/minute ($0.26/hour). OpenAI Whisper API is $0.006/minute ($0.36/hour). Self-hosted Whisper on a GPU is cheapest at scale: an A10G at $0.60/hr processes ~180 min/hr audio, costing ~$0.003/minute.
How accurate is AI speech-to-text compared to human transcription?
Top AI models (Whisper large-v3, Deepgram Nova-2) achieve 5-10% word error rate on clean audio, approaching human transcriptionist accuracy (~3-5% WER). Accuracy drops significantly with background noise, accents, technical jargon, and multiple overlapping speakers. For legal or medical use, human review of AI transcription is still recommended.
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