With the rapid development of Short Video, knowledge videos and cross-language content, video localization has gradually become an important requirement of content creators. Traditional video translation often requires multiple steps such as speech recognition, subtitle production, translation, dubbing, and subtitle suppression. Not only is the process cumbersome, but it also requires the use of multiple tools. KrillinAI is trying to integrate these aspects into a complete video localization workflow.
KrillinAI is an open source audio and video localization and enhancement tool launched by Krillin AI team. It is mainly aimed at ordinary users and AI Agents. It can cover everything from video download, speech recognition, subtitle generation, subtitle translation, to TTS dubbing, video synthesis, and cover generation, making the work that originally required the cooperation of multiple software more concentrated.
A major feature of it is the deep integration of AI capabilities. In terms of speech recognition, the project supports Whisper, FasterWhisper, WhisperCpp, WhisperKit and other solutions; in the translation process, it is compatible with cloud or local large language models that comply with OpenAI API specifications, including OpenAI, Gemini, DeepSeek, Tongyi Thousand Questions and other compatible services. In this way, users can choose different model combinations based on cost, speed, privacy and effectiveness.
Subtitle processing is also one of KrillinAI's core capabilities. The tool can not only convert speech to text, but also combine large language models for subtitle segmentation and alignment, and support technical term replacement and context translation. For long videos, this automated processing can significantly reduce the workload of manually adjusting the subtitle Timeline and sentence breaks.
In terms of dubbing, KrillinAI supports multiple TTS services and provides voice selection and custom voice cloning capabilities. Users can first generate subtitles in the target language, then use TTS to convert the subtitles into audio in the target language, and finally synthesize them with the original video to form a complete multi-language dubbing video.
In addition to traditional horizontal video, KrillinAI also takes into account the content form of the Short Video platform. The project supports horizontal and vertical Media Processing Service, and can generate bilingual subtitle videos, short subtitle videos, and frame-converted videos. It also provides cover generation capabilities. This means that it is not only focusing on "translation", but also trying to solve a whole set of production issues before content is released.
For developers and automated workflows, KrillinAI's CLI capabilities are particularly noteworthy. The project provides commands such as subtitle, tts, render-horizontal, render-vertical, pipeline, and cover, which can separate different phases and execute them, or connect multiple phases in series through pipeline. At the same time, the CLI will output structured JSON and save the material information generated in the previous stage through a manifest file, which makes it more suitable for script automation and AI Agent calls.
From the perspective of deployment methods, KrillinAI supports Windows, Linux and macOS, provides desktop version, server/Web UI and CLI usage, and supports Docker deployment. For ordinary users, desktop programs can be used directly; for server or automation scenarios, non-desktop versions and CLI can be used. This design gives the project strong flexibility to use.
Overall, the value of KrillinAI is not just "a video translation tool", but an attempt to establish a complete AI workflow from original video to localized footage. It combines speech recognition, large model translation, TTS dubbing, subtitle processing and video rendering, while providing an interface for automated use through CLI and Agent Skills. This is an open source project worthy of attention for users who need to process overseas videos in batches, produce multi-language content, or want to connect the video localization process to AI Agents.
Project address:KrillinAI GitHub repository