VideoCaptioner is an AI-powered video subtitling assistant that combines ASR (local or cloud) with LLM-based subtitle segmentation, correction and translation. It supports offline GPU transcription, concurrent chunk transcription, VAD, speaker-aware processing, batch subtitling and one-click subtitle-to-video synthesis, with both GUI and CLI options.
Translates scientific PDFs while keeping the original layout intact: parses text, tables, and figures, then re-renders bilingual or monolingual output via any OpenAI-compatible LLM. Tuned for English-to-Chinese papers, with CSV glossary support.
Provides professionally translated parallel corpora and a multilingual lexicon across 100+ low-resource languages for training and evaluating multilingual MT and NLP models. Includes SmolDoc, SmolSent, GATITOS, and factuality annotations; licensed CC-BY-4.0.
Turns web reading into an in-context language-learning experience by injecting context-aware translations, explanations, subtitle translation, and TTS directly into the browser. Supports selection translation, batch requests and configurable AI providers to balance cost and quality.
Translates full-length books, subtitles, and documents with LLMs while preserving original formatting and structure. Uses intelligent chunking to handle arbitrarily long files, supports local or cloud providers, and resumes interrupted jobs without losing progress.
Provides multi-task long-speech evaluation data for eight speech-understanding tasks (ASR, summarization, QA, translation, emotion, speaker counting, content separation, language detection). Includes 101,822 long audio files and ~204,881 annotated examples with JSONL task splits for easy loading.
Filtered subset of the OPUS 4.6 parallel corpus that isolates reasoning-related translation examples and removes 979 refusals, providing a cleaner 3,000×-filtered dataset for training or evaluating NLP models focused on reasoning in translation.
Multi-agent workbench for long- and short-form fiction, scriptwriting, interactive narrative games and multilingual translation. Offers Studio/CLI/TUI tools that plan, draft, audit and revise chapters while maintaining structured story state, branching forecasts, cover generation and multi-model routing. Suited for authors and teams automating long-horizon narrative workflows.
Desktop app for local voice cloning, real-time dictation, and end-to-end video dubbing using zero-shot TTS across 600+ languages; features multi-engine TTS/ASR, speaker diarization, vocal isolation, batch pipelines, and invisible audio watermarking — all run fully offline.
Parallel Khasi–English sentence pairs for machine translation research focused on low-resource NLP in Northeast India. Provided as a small CSV (sentence_id, english_text, khasi_text) under CC BY‑NC 4.0 for non-commercial research use.
Provides 100 English–Khasi parallel sentence pairs with aligned studio-quality WAV recordings for ASR, TTS and translation evaluation; curated by Medharvix as a restricted public sample—full corpus available by request.