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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
Transcriptly logo
Transcriptly
✓ verifiedFreemium

Free-to-start converter for turning uploaded files or YouTube videos into transcripts with AI summaries in 98+ languages.

74K visits/mo
Whisper Snapper for Mac logo
Whisper Snapper for Mac
✓ verifiedFreemium

Mac transcription app offering local or cloud AI models, speaker ID, translation, and multi-format export for recordings.

1.3K visits/mo
Scribebuddy logo
Scribebuddy
✓ verifiedFreemium

Free-forward AI transcription and subtitling tool for audio, video, and podcasts in over 100 languages.

5.5K visits/mo
Pricing
Transcription API: $0.16/hour
Transcription Lite: $0.03/hour

Free trial available

Free: $0/month (10 credits/month)
Hobby: $6/month billed as $72/year

No public pricing

Free trial available

Limited-time offer: $16.99
Core features
  • 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/video/YouTube transcription
  • AI-generated summaries and highlights
  • Support for 98+ languages and formats
  • Credit-based free tier
  • API access
  • 45-day media file retention
  • Drag-and-drop transcription with no account required
  • Choice of local or cloud AI transcription engines
  • Local AI summarization powered by Llama
  • Translation into 20+ languages
  • Speaker identification/diarization
  • Support for video and audio formats including MP4, MOV, MP3, WAV
  • Export to TXT, SRT, VTT, Markdown, CSV, or PDF
  • AI transcription of audio, video, and live speech
  • Translation into 100+ languages and dialects
  • Automatic subtitle file creation
  • AI-generated summaries of transcribed content
  • Speaker recognition and timestamps for podcasts
  • Cross-platform support including Mac, Windows, and mobile
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
  • Students and researchers converting lecture recordings to text
  • Creators repurposing YouTube video content into text form
  • Professionals needing quick AI summaries of long recordings
  • Transcribing podcasts or interviews with speaker labels
  • Creating video subtitles from recordings
  • Summarizing long meeting recordings privately on-device
  • Transcribing podcast episodes for accessibility and SEO
  • Converting business meeting recordings into text records
  • Generating subtitles for video content
  • Transcribing lecture recordings or voice memos for students
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