Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
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SpeechPulse
✓ verifiedPaid
Offline-capable Windows/macOS dictation app that types into any app in real time, supports 99 languages, and generates subtitles from media.
12K visits/mo
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Transcriptly
✓ verifiedFreemium
Free-to-start converter for turning uploaded files or YouTube videos into transcripts with AI summaries in 98+ languages.
74K visits/mo
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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
Pricing
No public pricing
Free: $0/month (10 credits/month)
Hobby: $6/month billed as $72/year
Transcription API: $0.16/hour
Transcription Lite: $0.03/hour
Free trial available
Core features
- ✦Real-time voice typing into any desktop application
- ✦Offline speech recognition for privacy
- ✦Transcription and translation in 99 languages
- ✦Automatic or manual punctuation modes
- ✦Push-to-talk dictation with customizable hotkeys
- ✦AI-assisted grammar, formatting and summarization templates
- ✦Audio/video file transcription with speaker diarization
- ✦Subtitle generation in SRT and VTT formats
- ✦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
- ✦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)
Use cases
- →Dictating documents and emails faster than typing
- →Transcribing recorded meetings or interviews into text
- →Generating subtitles for video content
- →Enabling hands-free computer use for accessibility needs
- →Working offline in privacy-sensitive environments
- →Students and researchers converting lecture recordings to text
- →Creators repurposing YouTube video content into text form
- →Professionals needing quick AI summaries of long recordings
- →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
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