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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
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
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

Speech-to-text service for professionals needing fast, multilingual transcription of long-form audio and video with AI summaries.

85K visits/mo
Pricing
Transcription API: $0.16/hour
Transcription Lite: $0.03/hour

Free trial available

No public pricing

Free: $0/month (10 credits/month)
Hobby: $6/month billed as $72/year
Free: $0/mo (3 files/day, 5-hour max duration)
Basic: $4.9/mo (billed yearly, 10 files/day)
Pro: $9.9/mo (billed yearly, unlimited files/day)
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 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
  • 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
  • Automated transcription claimed at 99.9% accuracy
  • Support for 98 languages
  • Uploads up to 5 hours per file
  • Speaker classification/diarization
  • AI-generated summaries of transcripts
  • Wide format support (MP3, MP4, WAV, MOV and more)
  • YouTube transcript generation
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
  • Transcribing meetings and interviews
  • Repurposing podcasts and videos
  • Generating subtitles and accessible transcripts
  • Cleaning noisy audio before transcription
  • 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 medical consultations or patient notes
  • Documenting legal proceedings and depositions
  • Turning long interviews or lectures into searchable text
  • Summarizing sales or business meetings
  • Generating transcripts from YouTube videos for content repurposing
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