Convert audio files to text transcriptions using AI speech recognition. Process spoken content from audio URLs into readable text format for documentation, analysis, or accessibility purposes.
Convert text to speech and play it through system audio using customizable voice options for accessibility, content consumption, or audio output needs.
Synchronize mouth movements in videos with audio using text-to-speech or custom audio upload. Works with human faces in real, 3D, or 2D videos to create lip-sync content.
MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to:
Submit and validate constraint models
Set model parameters
Solve constraint satisfaction and optimization problems
Retrieve and analyze solution
A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.
A voice-to-text transcription service that converts audio files to transcripts using SiliconFlow, supporting both multipart/form-data and base64 formats.