Whispering Tiger

Whispering Tiger is a comprehensive application for speech-to-text conversion, text processing, text extraction from images, and other tasks. It includes near real-time transcription and translation. The project is open-source and features an extensive plugin repository. It offers specialized support for VRChat functions, although it works with other games and software. It supports numerous AI models including various speech-to-text engines, multiple text translation models, and numerous voice synthesis systems ranging from fast options to high-quality ones. It also includes several optical character recognition models.

★★★★★

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• Local Processing. All transcription, translation, and synthesis operations run directly on the user's device. This approach ensures the privacy of audio and text data, as it is not transmitted to external servers. Local processing also reduces latency compared to cloud-based solutions, providing a more immediate response during interactive use.
• Detailed Configuration. The application offers an extensive set of configuration options that allow fine-tuning the performance and behavior of each module. Users can select specific AI models for each task, adjust audio sensitivity parameters, manage system resource usage, and customize keyboard shortcuts. This granularity makes it possible to optimize the application for different hardware and specific use cases.
• Real-time Translation. The feature converts speech from one language to another with low latency. It captures audio via the microphone, transcribes it to text, translates the resulting text into the target language, and finally synthesizes it into speech. This process occurs in a continuous chain, allowing for fluid conversations between users speaking different languages during gaming sessions or voice communications.
• Speech-to-Text Conversion. The module transcribes audio into written text in real-time with high accuracy. It supports multiple speech recognition engines and models, from lightweight and fast options to more complex and accurate ones. The transcribed text can be displayed as subtitles, saved to files, or sent as input to other modules such as translation or voice synthesis.
• Text Translation. Automatically translates text strings between a wide range of languages, exceeding two hundred supported. It works with both manually entered text and text generated by the speech-to-text module or the optical character recognition module. It allows defining translation profiles with specific source and target languages for different contexts or conversation partners.
• Voice Synthesis. Converts written text into spoken audio using multiple engines and voices. It includes support for voice conversion and voice cloning technologies. Users can select from pre-configured voices or train custom models. This function is used to read aloud translations, subtitles, or chat responses, with control over parameters such as speed, pitch, and intonation.
• Optical Character Recognition (OCR). Extracts text from images captured from the screen or graphic files. A specific plugin allows defining a monitor region to capture text in real-time from game interfaces, applications, or windows. The detected text can subsequently be transcribed, translated, and synthesized, useful for translating menus, dialogues, or interface elements in software that does not provide direct access to its text.
• Plugin System. Base functionality is extended through a plugin system installable from a repository integrated into the application. These plugins add capabilities such as on-screen subtitle display, subtitle file generation, keyboard typing emulation, soundboards for voice chats, and OCR monitors. The modular architecture allows developers to create and distribute new extensions.
• Multiple Profiles. Allows creating and managing independent configurations for different scenarios or users. Each profile can contain specific settings for AI models, translation languages, synthesis voices, and active plugins. This facilitates quickly switching between configurations optimized for translating a specific player, for the user themselves, or for different software environments.
• Real-time Voice Conversion (RVC and Tiger Voice Pro). Modifies the microphone input voice or the voice synthesis output in real-time. RVC uses voice conversion models to transform vocal characteristics. Tiger Voice Pro uses voice cloning techniques from a short audio sample to mimic a target voice. These functions are applied to change the voice timbre in chats or to make synthesized voices sound like a specific person.
• Subtitle Display. Displays transcribed or translated text as an on-screen overlay. The appearance of the subtitles is configurable, including font size, color, position, background, and duration on screen. This display helps follow conversations in noisy environments or to understand speech in a foreign language while gaming or working with other full-screen applications.
• VRChat Integration. Includes functions specifically designed for the VRChat environment, such as automatic translation of the game's text chat, voice synthesis for avatars, and communication management between worlds. Although it has a special focus on this platform, its generic audio and text components maintain compatibility with other applications that use microphone input and audio output.

Development of Whispering Tiger began in the year 2025. The software is primarily written in the Python programming language. It is an open-source project hosted on GitHub, where several developers contribute to the codebase, documentation, and plugin creation. The application is distributed publicly and its development continues with the addition of new AI models, performance optimizations, and expansion of its plugin ecosystem.

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