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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

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OmniTranscript logo
OmniTranscript
✓ verifiedFreemium

OmniTranscript transcribes public TikTok, Instagram, and YouTube videos to timestamped text without sign-up and exports transcripts in SRT, WebVTT, and TXT formats.

Salad Transcription API logo
Salad Transcription API
✓ verifiedPaid

Pay-per-hour speech-to-text API claiming top accuracy at lower cost than Deepgram, AssemblyAI, and other major transcription providers.

614K visits/mo
AudioScribe.io logo
AudioScribe.io
✓ verifiedFreemium

AI transcription turning audio/video into searchable text, with speaker ID, AI summaries and a chat-with-your-transcript feature.

18K visits/mo
DeVoice logo
DeVoice
✓ verifiedFreemium

AI transcription platform that turns audio, video and YouTube links into text and subtitles, with speaker labels and 100+ languages.

319K visits/mo
Pricing
Free: unlimited, no sign-up
Transcription API: $0.16/hour
Transcription Lite: $0.03/hour

Free trial available

Individual: $0 (3 files/day, 25-min cap)
Standard: $19.99/mo (unlimited transcripts, 10-hr files)

Free trial available

No public pricing

Core features
  • Timestamped transcripts
  • Export SRT/WebVTT/TXT
  • No account required
  • No data retention
  • Mobile friendly
  • Handles slang and fast speech
  • Pay-per-hour transcription pricing, no flat subscription
  • Benchmark accuracy comparisons against major competitors
  • Support for 8 languages with English translation
  • Speaker identification and time-coded SRT output
  • Two speed/accuracy tiers (standard and Lite)
  • Audio and video transcription
  • Full-text search across transcripts
  • AI summaries and chat over content
  • Speaker identification
  • Export to TXT, SRT, VTT
  • 18-language support
  • Audio and video to text transcription
  • SRT subtitles and speaker labels
  • YouTube link transcription
  • Support for 100+ languages
  • Background noise removal
  • AI voice generator and text-to-speech
Use cases
  • Teams running high-volume batch audio transcription on a budget
  • Developers wanting a lower-cost, benchmarked alternative to Deepgram/AssemblyAI/Azure
  • Workloads needing faster, lower-accuracy transcription via the Lite tier
  • Meeting and interview notes
  • Podcast transcripts
  • Lecture and academic transcription
  • Reviewing recorded calls
  • Transcribing meetings and interviews
  • Repurposing podcasts and videos
  • Generating subtitles and accessible transcripts
  • Cleaning noisy audio before transcription
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