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Akkadu AI Subtitles logo
Akkadu AI Subtitles
✓ verifiedPaid

AI live-captioning app giving real-time subtitles and translated audio in 90+ languages for meetings, events and streams.

54K visits/mo
AI Dubbing logo
AI Dubbing
✓ verifiedFreemium

AI video dubbing across 20+ languages and 100+ voices with lip-sync, voice cloning and subtitles; free daily credits plus paid plans.

252K visits/mo3.1K saves
SubEasy logo
SubEasy
✓ verifiedFreemium

AI transcription and subtitling tool with translation and dubbing for creators localizing videos into 100+ languages.

678K visits/mo
sync.so logo
sync.so
✓ verifiedPaid

AI lipsync and visual dubbing tool that resyncs a speaker's mouth to translated audio or cloned voices across languages.

352K visits/mo31K saves
Wav2Lip logo
Wav2Lip
✓ verifiedFreemium

Free online lip-sync tool built on the Wav2Lip research model that syncs any audio to a face photo or video.

40K visits/mo
Pricing
5 credits: $6 (1 hr captions or 30 min audio)
20 credits: $22 (4 hrs captions or 2 hrs audio)
100 credits: $99 (20 hrs captions or 10 hrs audio)

Free trial available

Starter: $9/mo (300 credits/mo)
Pro: $39/mo (1,500 credits/mo)
Max: $99/mo (4,000 credits/mo)
Ultra: $199/mo (8,000 credits/mo)
Free: $0 (3x30 min transcriptions/day)
Pro: $7.42/mo ($89/yr, 200 min/mo transcription + 3x30 min free daily)
Unlimited: $29/mo ($348/yr, unlimited transcription, 200GB storage)

No public pricing

Free: $0/month (10 credits, 10s max video, 512x512 resolution)
Basic: $15.99/month billed yearly (12,000 credits/year, 60s max video)
Standard: $39.99/month billed yearly (36,000 credits/year, unlimited duration)
Pro: $119.99/month billed yearly (120,000 credits/year, 4K resolution)
Core features
  • Real-time captions in 90+ languages
  • Translated live audio output
  • Choice of translation engine (Google, Microsoft)
  • Custom glossaries and accent recognition
  • Profanity/safety filter and visual styling
  • Downloadable multilingual transcripts
  • AI video translation and multilingual dubbing
  • Lip-sync matching
  • Voice cloning from short samples
  • Auto subtitles and subtitle tools
  • 20+ languages and 100+ voices
  • Text-to-speech and audio tools
  • Automatic transcription and subtitle generation
  • Animated caption styles synced to speech
  • AI translation and dubbing with voice cloning
  • Subtitle and watermark removal from video
  • Support for 100+ languages
  • AI companion for summaries and notes from transcripts
  • AI lipsync across multiple languages
  • Support for 4K footage, multiple faces and camera angles
  • API and plugin integration (Premiere, ComfyUI) for pipelines
  • Voice cloning or generated-audio input for dubbing
  • Watermark-based verification of processed videos
  • Lip sync from a static image or existing video plus audio
  • SyncNet-based accuracy optimization
  • Visual quality discriminator for natural facial detail
  • Support for common video/audio formats (MP4, MOV, MP3, WAV, etc.)
  • Credit-based generation with resolution/duration limits by plan
  • Companion AI music generator tool
Use cases
  • Caption virtual meetings and webinars
  • Show multilingual captions at live events
  • Add translated captions to live streams
  • Provide transcripts and AI summaries
  • Localizing marketing and product videos
  • Dubbing courses and training content
  • Reaching global audiences for creators
  • Audiobook and advertisement dubbing
  • Adding accurate subtitles to podcast or video content
  • Translating and dubbing videos for international audiences
  • Generating notes or summaries from video transcripts
  • Batch transcription for high-volume content teams
  • Studios localizing video into other languages
  • Creators dubbing content with AI-cloned voices
  • Post-production teams fixing sync in complex shots
  • Platforms needing to verify AI-modified video authenticity
  • Content creators animating still photos with narration
  • YouTubers/TikTokers syncing dialogue to video clips
  • Users reviving old family photos with added speech
  • Developers/researchers experimenting with the Wav2Lip model
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