Lingvanex
Enterprise-grade Neural Machine Translation with local data residency and 100+ language support.
The industry-standard robust forced aligner for precise word-to-audio synchronization.
Gentle is a specialized forced alignment tool built on the Kaldi ASR toolkit, designed to synchronize speech audio with a corresponding text transcript. In the 2026 AI landscape, Gentle serves as a critical infrastructure layer for multimodal synchronization, enabling sub-millisecond word-level timing essential for high-fidelity AI animation, automated video editing, and advanced accessibility services. Unlike general-purpose speech-to-text engines, Gentle excels at reconciling 'messy' transcripts with audio by employing a phonetic-aware search strategy. Its architecture allows it to handle out-of-vocabulary (OOV) words by falling back to phonetic matching, making it a preferred choice for specialized domains like medical, legal, and creative arts. As of 2026, it is frequently deployed within Dockerized microservices to power 'Descript-like' editing features in browser-based DAWs. Its technical position is unique because it provides the 'ground truth' for timing where LLM-based transcriptions often struggle with precise temporal alignment. It remains the backbone for open-source VTubing workflows and automated closed-captioning pipelines that require exact word boundaries.
Uses a phone-based acoustic model to align words not found in the standard dictionary.
Enterprise-grade Neural Machine Translation with local data residency and 100+ language support.
A high-performance Python library for speech data representation, manipulation, and efficient deep learning pipelines.
Enterprise-Grade Conversational Voice AI for Seamless Human-Like Interactions.
AI-driven transcription and subtitling engine for high-speed content localization.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Leverages the robust Kaldi ASR framework for signal processing.
Allows for dynamic language model creation based on the input transcript.
Exports start/end times, duration, and confidence scores for every word.
Compatible with various acoustic models trained in different languages.
Built-in lightweight web UI for manual alignment checking.
Fully containerized environment for consistent deployment.
Manual lip-syncing is time-consuming and often inaccurate.
Registry Updated:2/7/2026
Highlighting words as they are read aloud in real-time.
Generating captions that perfectly match the speaker's cadence.