Open-source alternatives to MoneyPrinterPlus

This Python SDK provides a comprehensive toolkit for synthetic audio generation, voice cloning, and the development of conversational AI agents. It enables the creation of lifelike spoken audio from text, the replication of human voices through custom cloning, and the deployment of real-time voice agents capable of interacting with external large language models. The library distinguishes itself through deep integration of conversational AI capabilities, including the design of agent personas and the execution of real-time actions via APIs. It supports professional-grade audio production thro

Linly-Dubbing is an automated video dubbing pipeline designed for multilingual video localization. It converts spoken content in videos into another language by coordinating speech-to-text transcription, text translation, and text-to-speech synthesis. The system distinguishes itself through AI-driven lip synchronization and animation, which aligns facial expressions and mouth movements to the synthesized voiceover. It also utilizes audio source separation to isolate vocals from background music and noise, allowing for clean voice replacement while preserving original background audio. The br

Editly is a headless, programmatic video engine and automated assembler. It functions as a declarative video editor that generates MP4 and GIF exports from structured data or code, removing the need for a manual graphical user interface. The system is distinguished by its ability to integrate GLSL fragment shaders as visual layers within a programmatic timeline. It uses a configuration-based model to define clips, layers, and audio tracks, allowing for reproducible video assembly and the generation of custom programmatic graphics. The engine covers a broad range of media production capabilit

mi-gpt is a voice assistant bridge and agent orchestrator that connects smart speakers to large language models. It functions as an integration layer that routes audio requests from hardware speakers to AI providers and converts generated text back into speech via a customizable synthesis system. The project features a retrieval-augmented generation knowledge base that uses embeddings and external documents to provide context-aware responses. It includes a persona definition system for configuring behavioral rules, system prompts, and roleplay characteristics, alongside a plugin architecture

ChatTTS-ui is a web-based interface and API wrapper for the ChatTTS model, designed to convert written text and mixed language input into spoken audio. It functions as an AI speech synthesis dashboard and a programmatic generator for creating naturalistic voice output. The project focuses on custom voice profiling and speech nuance control. It allows for the maintenance of consistent speaker characteristics using seed values and data files, while providing controls for tone, laughter, and pauses through behavioral prompts and sampling parameters. The system includes a client-server architect

TTS-WebUI is a web interface and speech synthesis manager designed to convert written text into spoken audio files. It serves as a self-hosted audio AI suite that allows users to configure speech synthesis models, manage speaker profiles, and generate audio through a graphical dashboard. The system functions as both a visual manager and a generative audio API, providing standardized endpoints and OpenAI-compatible request formats for external applications to trigger synthesis programmatically. It includes a plugin-based extension system that allows new tools and models to be added via externa

RealtimeVoiceChat is a conversational AI gateway and voice chat interface that enables real-time spoken interactions with large language models. It functions as a streaming audio pipeline that integrates speech-to-text transcription and text-to-speech synthesis to facilitate natural voice conversations. The system utilizes WebSocket-based audio streaming and an asynchronous text-to-speech pipeline to maintain low latency. It includes specialized conversational controls such as silence-based turn detection and client-side interrupt handling, which stops active audio playback when new user spee

tts-server-android is a system-level text-to-speech service for Android that routes synthesis requests to external cloud APIs or local engines. It functions as an HTTP speech synthesis gateway, converting system speech requests into customizable HTTP requests for remote cloud services. The project includes a narrative dialogue parser that uses quotation marks to differentiate between narration and dialogue, allowing for different reading styles. It also features a voice manager and synthesis interface to implement text replacement rules and automatic retries to improve voice output accuracy.

This project is an automation suite comprising an AI visual asset generator, a browser-based social publisher, an Electron resource extractor, and a Markdown content transformer. It functions as a content automation pipeline that uses large language models to generate text and images for distribution across social media platforms. The system distinguishes itself through specialized visual generation capabilities, producing professional infographics, slide decks, educational comics, and SVG diagrams via structured prompts. It also features a dedicated workflow for extracting resources from Ele

This project is an AI content automation pipeline and LLM agent orchestration framework. It provides a system for generating research-backed text, images, and videos, and scheduling their distribution to social platforms. The framework allows for the development of specialized AI agents and custom tool servers. These servers expose capabilities such as video editing and story generation as API endpoints, enabling agents to execute complex tasks through a combination of AI models and custom tooling. The system covers automated content creation across text, image, and video media, utilizing hu

Podcastfy is an AI content-to-podcast generator that converts text, URLs, PDFs, images, and videos into conversational audio podcasts. It integrates with over 100 language models for transcript creation and multiple text-to-speech engines for audio output, with support for customizable dialogue style and optional local transcript generation for privacy. The project distinguishes itself through a flexible architecture that decouples job submission from result retrieval via asynchronous polling, normalizes heterogeneous inputs into uniform text, and routes content through pluggable LLM and TTS

🎤 微软语音合成工具，使用 Electron Vue ElementPlus Vite 构建。

RedditVideoMakerBot is a social media video creator and automation bot that transforms Reddit threads into short-form videos. It functions as a text-to-speech video generator, programmatically fetching posts and comments to create narrated clips with background visuals. The system integrates a content downloader for Reddit data with a voice engine that synthesizes spoken audio from written text. It manages the assembly of these components by combining image sequences and audio tracks into completed video files. The tool includes a web-based configuration interface for managing bot settings a

This project is an AI-driven suite of tools designed to repurpose long-form video content into short-form clips. It integrates a speech-to-text engine for automated transcription, a highlighting system that ranks engaging segments based on emotional hooks, and a video processor that converts horizontal footage into vertical formats. The system distinguishes itself through intelligent video cropping that utilizes face tracking and motion smoothing to keep subjects centered. It also employs an analysis system to extract viral highlights by scoring segments for engagement and practical value. T

NarratoAI is an automated video production pipeline that uses large language models to generate scripts, voiceovers, and edited video commentary. It functions as a combined scriptwriter, voiceover generator, and video editor to streamline the creation of movie and television commentary content. The system automates the production workflow by converting input data into structured narrative scripts, synthesizing artificial speech for narration, and programmatically assembling video clips based on script timestamps. It also converts spoken audio from video files into written text for subtitles a

Twikit is a Python library and API wrapper designed for interacting with X (Twitter). It simulates browser requests and mimics private network traffic to enable programmatic access to the platform without requiring an official API key. The project focuses on social media automation and data extraction, featuring tools for scraping user profiles, trending topics, and chronological tweet histories. It includes a session manager that handles user authentication, two-factor authentication, and cookie persistence to maintain active account access. The library's capabilities cover a broad range of

OpenFang is an operating system for LLM agents designed to orchestrate autonomous agents with built-in task scheduling, tool sandboxing, and multi-model routing. It provides a secure AI execution environment that integrates prompt injection scanning, cryptographic audit trails, and resource metering to ensure controlled processing. The platform distinguishes itself through a comprehensive security architecture, featuring fuel-metered tool sandboxing and an immutable activity audit trail based on cryptographic hash-chains. It implements high-assurance identity verification via signed manifests

big-AGI is a self-hosted AI frontend and multi-model client that provides a unified workspace for interacting with various large language models. It functions as an orchestration dashboard, allowing users to connect to cloud-based AI providers, aggregator services, and locally hosted model servers. The project is distinguished by its ability to execute prompts across multiple models simultaneously for side-by-side comparison and response synthesis. It enables the merging of outputs from different models to reduce hallucinations and improve accuracy, while using persona-based configuration map

Genkit is an open-source framework for building AI-powered applications. It provides a unified interface for connecting to hundreds of generative AI models from multiple providers, enabling text, image, audio, and video generation through a single API. The framework structures multi-step AI interactions—including chat, retrieval-augmented generation, tool use, and agentic workflows—as composable, traceable flows with built-in streaming and state management. The framework distinguishes itself through a comprehensive developer toolkit that includes a command-line interface and a local developer

This project is an automated audio production system that converts document content, such as PDFs, into spoken dialogue and audio files. It functions as a pipeline that transforms static text into natural two-person scripts for podcast generation. The system synthesizes realistic multilingual speech that includes regional accents and nonverbal cues like laughing or sighing. These voice tracks are combined with generated ambient background music and atmospheric noise to create layered audio compositions. The project also includes capabilities for conversational AI agents, utilizing generation

Pipecat is a framework and software development kit for building real-time multimodal AI agents and speech-to-speech systems. It utilizes a frame-based data pipeline to route audio, video, and text through a modular sequence of processors, enabling the orchestration of low-latency conversational AI. The project is distinguished by its ability to coordinate complex multimodal services, including speech-to-text, language models, and text-to-speech, within a single pipeline. It features semantic voice activity detection for natural turn-taking, state-machine conversation flows for dialogue manag

Sherpa-ncnn is an edge-based speech recognition and synthesis engine designed to run neural network models locally on mobile, embedded, and desktop hardware. It provides a cross-platform framework for offline speech-to-text transcription and text-to-speech synthesis, ensuring that all audio processing occurs on-device without requiring an internet connection or external cloud services. The project distinguishes itself through its use of the ncnn inference engine, which is optimized for low-latency execution on resource-constrained devices. It incorporates on-device model quantization to reduc

SmartSub is a cross-platform desktop application for AI-driven video transcription and subtitle generation. It converts audio and video files into text subtitles using local AI models and incorporates hardware acceleration to increase processing speed. The tool features a subtitle translator that leverages large language models, such as OpenAI and DeepSeek, to convert subtitles between different languages. It includes a visual editor for proofreading and polishing transcribed text, paired with a video preview for frame-accurate synchronization. The software supports batch processing of multi

Mastra is an orchestration framework designed for building, deploying, and managing autonomous AI agents and multi-agent systems. It provides a comprehensive suite of primitives for creating resilient AI applications, including durable workflow orchestration, event-driven agent loops, and semantic memory management. By integrating these core components, the platform enables developers to build complex, multi-step processes that can reason about goals and execute tasks without manual intervention. The framework distinguishes itself through its focus on observability and secure, isolated execut

gptme is a multi-agent orchestration platform designed for autonomous software engineering, terminal-based AI integration, and RAG-enhanced code navigation. It enables the deployment of persistent agents and specialized subagents to decompose complex tasks and execute parallel technical workflows. The system distinguishes itself through a combination of vision-based GUI automation for controlling desktop applications and surgical patching mechanisms for targeted source code modifications. It utilizes git-based memory management to maintain a versioned history of agent identities, lessons, and

This project provides a comprehensive framework for building, deploying, and orchestrating autonomous agents within a decentralized network. It serves as a collection of patterns and examples for developing intelligent software entities capable of performing complex tasks, making decisions, and interacting with other agents to achieve shared goals. The framework distinguishes itself through its focus on multi-agent orchestration and decentralized communication. It enables the coordination of specialized agent teams that collaborate on workflows through structured messaging protocols, allowing