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Rask AI logo
Rask AI
✓ verifiedPaid

AI video localization and dubbing for global content; established, high traffic.

422K visits/mo7.6K saves
VMEG - Clips to Videos logo
VMEG - Clips to Videos
✓ verifiedFreemium

AI video localization platform for translation, dubbing, subtitling, and transcription across 170+ languages for creators and enterprises.

243K visits/mo37K saves
SubEasy logo
SubEasy
✓ verifiedFreemium

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

678K visits/mo
GPT Subtitler logo
GPT Subtitler
✓ verifiedPaid

Subtitle translation and audio transcription web app; real traffic.

53K visits/mo1.8K 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
Creator: $60 / per month
Creator Pro: $150 / per month
Business: $750 / per month
Enterprise: Custom

No public pricing

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)
Free Tier: Free
Basic Plan: $5/month
Premium Plan: $9.9/month
Pay-as-you-go Token: Variable
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
  • AI-powered video translation and dubbing
  • Lip-syncing
  • Voice cloning
  • Automated transcription
  • Subtitle generation
  • API for large-scale localization
  • Translation dictionary
  • AI video and audio translation with dubbing
  • Automatic subtitle generation and translation
  • Voice cloning and AI voiceover generation
  • Transcript generation from video, audio, YouTube, and TikTok
  • Lip-synced dubbing workflow
  • Accent generation for multiple languages
  • 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-powered subtitle translation
  • Audio transcription using Whisper AI
  • Batch translation
  • Customizable translation settings
  • Support for multiple LLM providers (OpenAI, Claude, Gemini, etc.)
  • Token-based pricing or subscription plans
  • 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
  • Localizing marketing videos for international audiences
  • Dubbing educational content for global learners
  • Translating podcasts and interviews for wider reach
  • Creating multi-language versions of training materials
  • Adapting films and entertainment content for different regions
  • Creators localizing videos for global audiences
  • Marketing teams producing multilingual ad campaigns
  • Agencies localizing entertainment or short-drama content
  • E-learning teams translating training materials
  • 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
  • Translating video subtitles for global audiences
  • Transcribing audio and video files to create subtitles
  • Batch processing multiple subtitle files for consistent translation
  • Fine-tuning translations for specific content types and audiences
  • 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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