Whisper is a web application that enables users to transcribe or translate spoken audio into written text. Below are 34 ai & ml apps with similar functionality to Whisper, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
Whisper Large V3 is a web application that converts spoken audio from recordings, uploads, or YouTube links into written text. It supports both transcription and translation, making it useful for content creators, researchers, and anyone needing accurate speech-to-text conversion.
Whisper Turbo is a web app that transcribes or translates spoken content from audio files, microphone recordings, or YouTube links into text. It is designed for content creators, researchers, and anyone needing fast and accurate speech-to-text conversion.
Whisper Web is a browser-based application that allows users to upload or record audio and receive instant transcriptions. The app supports multiple languages and provides editable text output, making it ideal for journalists, students, and anyone needing fast audio-to-text conversion.
WhisperTranscribe is a web-based application that leverages Whisper AI models to transcribe audio files into text. It is designed for content creators and marketers who need fast, accurate transcription and integrated content creation tools.
Whisper For Large Audio is a browser-based tool that allows users to upload and partition large audio files, then transcribe them using OpenAI Whisper. It is designed for content creators and researchers who need accurate, scalable audio transcription.
Whisper Web is a browser-based AI transcription tool that converts audio, voice recordings, and YouTube videos into accurate text in over 100 languages. It provides speaker labels, AI-generated summaries, and supports various export formats, making it ideal for creators, researchers, and students needing fast, reliable transcription.
Whisper Webui is a web-based application that enables users to transcribe audio files into text using AI models. It supports multiple languages and provides downloadable transcriptions, ideal for journalists and researchers.
Whisper-WebUI is a web application that generates subtitles from audio or video files, YouTube links, or live microphone input. It also supports translating subtitles into different languages, making it useful for video editors and content creators.
Realtime Whisper Turbo allows users to speak into their microphone or upload audio files and receive instant transcriptions. The app displays the text as it is generated and provides word count feedback. It is ideal for content creators and anyone needing fast, accurate audio-to-text conversion.
1Transcribe is a cross-platform transcription tool powered by OpenAI Whisper, offering accurate audio-to-text conversion in 99+ languages. It supports free transcription for short files, batch processing, speaker diarization, and export options, catering to professionals and content creators.
Whisper Transcription is a web-based application that converts audio and video files into text. It supports speaker diarization, URL-based transcription, and session management, making it useful for content creators, journalists, and researchers needing fast, accurate transcriptions.
Whisper Large V2 is a web application that transcribes audio files into text using a large-scale speech recognition model. Users can upload audio and receive accurate transcriptions, making it useful for transcription tasks and accessibility.
Whisper-all-zero is a web-based tool for transcribing audio files or recordings into text using multiple models. It provides transcription results and timing details, serving researchers, journalists, and anyone needing accurate speech-to-text conversion.
Whisper To Stable Diffusion is a web application that transcribes spoken prompts using speech-to-text AI and then generates images from the transcribed text using image generation models. It is designed for AI enthusiasts and creators who want to explore multimodal AI workflows.
Whisper JAX is a web application that transcribes audio files or recordings into written text using AI models. It is suitable for researchers, journalists, and students who need fast and accurate speech-to-text conversion.
Candle Whisper is a web application that converts uploaded audio files into text using AI-powered transcription models. Users can choose from different models for transcription, making it suitable for content creators and anyone needing fast, accurate speech-to-text conversion.
This web app allows users to transcribe audio from YouTube videos into text using OpenAI Whisper. It provides a fast, browser-based interface for content creators and researchers needing video-to-text conversion.
Youtube Video Transcription With Whisper is a web app that lets users input a YouTube video URL to receive a text transcription and a summary of the video. It is ideal for content creators, educators, and anyone needing accessible video content.
Youtube Whisperer is a web application that allows users to transcribe YouTube videos into text using AI models. Users can input a YouTube URL and receive an instant transcript, making it useful for content creators, researchers, and anyone needing video-to-text conversion.
Whisper: Word-Level Video Trimming is a web application that allows users to upload videos and trim them at the word level using AI-powered transcription. It provides an interactive editing interface for content creators and video editors.
whisper-large-v3-turbo is an open-source automatic speech recognition model for transcribing audio to text. It is available for local inference via CLI and is intended for AI researchers and developers.
Whisper is a desktop application for macOS, Windows, and Linux that uses AI (powered by GPT-4o mini) to instantly rewrite and improve user messages. It works system-wide via a global shortcut, provides tone suggestions, and offers explanations for changes, helping users communicate more clearly and confidently.
Whisper is an AI-powered assistant for Windows that enables users to chat with AI, generate written content, create images from text prompts, and transcribe audio. It is designed to boost productivity and creativity for individuals and professionals.
Whisper Speaker Diarization is a web app that lets users upload video files or paste YouTube links to generate full transcripts with speaker attribution. It supports multiple languages and speaker counts, making it useful for journalists, researchers, and content creators needing accurate multi-speaker transcriptions.
Whisper Transcription is an AI-powered app for iOS that transcribes audio files into text using OpenAI's Whisper model. It supports offline and cloud transcription, multi-language recognition, AI-generated summaries, and allows users to chat with transcripts for deeper insights. Ideal for professionals and students needing fast, accurate transcription.
Buzz is a desktop application that transcribes and translates audio files to text using OpenAI's Whisper and compatible models. It works offline, supports multiple export formats, and is suitable for users needing secure, local transcription.
Ratchet + Whisper is a web application that allows users to upload audio files and convert them into text using AI-powered transcription models. It is designed for content creators and researchers needing fast and accurate speech-to-text conversion.
winWhisper is a speech-to-text application for Windows that provides live transcription, AI-powered rewriting, and voice dictation into any app. It features global hotkeys, privacy-focused processing, and supports multiple languages, making it ideal for professionals and anyone needing efficient voice-to-text conversion.
MacWhisper is a desktop app for macOS that transcribes audio, video, and online meetings locally using AI models like Whisper and Parakeet. It offers privacy-focused, fast transcription, supports dictation, and provides both free and paid options for users who need accurate, offline transcription.
whisper-smith is an open-source Python CLI tool for transcribing audio using OpenAI's speech-to-text APIs. It supports diarization and is designed for developers who need automated audio transcription workflows.
whispergram is an open-source CLI tool that transcribes Telegram chat exports locally. It uses Whisper for voice and video, OCR for screenshots, and a local vision model for photos, ensuring privacy and offline operation.
Audio Transcription is a web app that leverages the Whisper Large-v2 AI model to transcribe audio files into text. It offers fast and accurate transcription, supporting content creators, journalists, and professionals needing reliable speech-to-text conversion.
Whisper Speaker Diarization is a web app that transcribes uploaded audio recordings and automatically labels speakers with timestamps. It is designed for journalists, researchers, and professionals needing accurate multi-speaker transcripts.
Whispers is a coordination runtime designed for AI agents and the humans who manage them, addressing the challenge of agent collaboration and communication. It provides presence awareness, trust-gated messaging, structured handoffs, and coordination features that prevent agents from duplicating work, overwriting each other's progress, or losing context during handoffs. The platform acts as a nervous system for multi-agent workflows, enabling agents to share their status, manage file leases, and coordinate tasks without requiring human intervention as a relay. The tool introduces concepts such as presence indicators (showing which agents are online, their activity, and load), trust tiers (five levels earned through behavior), and signal modes (open, focused, quiet) to control interruptions and collaboration boundaries. Coordination mechanisms include file lease management, repo lanes for parallel work, structured handoffs, and a truth repository and worktree for maintaining a consistent state among agents. The cognitive heartbeat feature provides real-time insights into agent load, context depth, and quality risk. An operator console allows users to monitor every agent, message, and event, stepping in when necessary to maintain oversight and control. Whispers is delivered as a local-first, self-hosted solution, ensuring that data remains on the user's machine. It is available via a simple installation command and includes a runtime, CLI, SDK, and console. The platform supports integration with agents compatible with the MCP protocol, such as Claude Code, Codex CLI, and Gemini CLI, and offers an HTTP API for agents without native MCP support. IDE extension compatibility depends on the host environment. Security features include bearer token authentication, a five-tier trust system, pre-dispatch validation, velocity circuit breaker, flood protection, replay protection, and security event logging. However, it currently lacks end-to-end encryption between agents and uses a SQLite backend without encryption at rest. 0 license. While the core self-hosted components remain open source, future hosted services through Whispers Works will be offered as paid options. The project is currently in alpha, with ongoing development and daily internal use by its creators.
