VideoLingo

VideoLingo is an all-in-one video translation, localization, and dubbing tool designed to generate Netflix-quality subtitles. It automates processes such as subtitle cutting, translation, alignment, and dubbing, enabling seamless video localization across language barriers. Key f

Link

• Visit resource

Related resources

• SubalignerAutomatic subtitle synchronization tool using deep neural networks and forced alignment, with translation support.
• whisper-subtitlesAccessibility-focused local subtitle generation using Whisper+OpenVINO, targeting hearing-impaired users across 99 languages.
• Eyevinn auto-subtitlesWhisper-based automatic subtitle generation tool that chunks large audio and outputs VTT/SRT/JSON while preserving sync.
• alass — Automatic Language-Agnostic Subtitle SynchronizationRust CLI tool for automatic subtitle sync handling offset drift, ad-break splits, and framerate differences, 88-98% good-sync rate.
• subtitle-translatorBatch subtitle translation tool supporting .srt/.ass/.vtt/.lrc formats with 17+ LLM providers, bundled format conversion, actively maintain…
• Evaluating Video Quality Metrics for Neural and Traditional Codecs (4K/UHD-1)Academic comparison of VMAF, AVQBits, and FasterVQA no-reference quality metrics on 4K content.
• CompressedVQA: Full/No-Reference VQA for Compressed UGC VideoICME 2021 grand challenge-winning full-reference and no-reference video quality models for compressed user-generated content.
• 2BiVQA: Double Bi-LSTM No-Reference Video Quality AssessmentNo-reference VQA model for UGC video using double Bi-LSTM, companion code to arXiv:2208.14774.
• nr-vqa-consumervideoNo-reference video quality metric tuned for consumer video capture artifacts (sensor noise, motion blur, shake) rather than compression art…
• Bitrate Ladder Construction via Transfer Learning and Spatio-Temporal FeaturesML-based bitrate ladder optimization achieving 94.1% complexity reduction at only 1.71% BD-rate cost using transfer learning.