A site that turns your ideas into tasks

Speechy is an AI-powered productivity application designed to convert spoken audio into structured, actionable text. It enables users to record voice notes, upload pre-recorded audio files, or import YouTube videos, then automatically transcribes and organizes the content into formats such as todo lists, meeting minutes, flashcards, blog posts, social media content, and journal entries. The tool targets knowledge workers, students, researchers, remote teams, and anyone who frequently captures ideas verbally but struggles with manual note-taking and task organization.
Unlike traditional transcription tools, Speechy goes beyond verbatim conversion by applying natural language understanding to extract tasks, events, key insights, and contextual summaries. Its multilingual support—covering over 100 languages—makes it accessible to a global user base, supporting diverse linguistic and professional needs without requiring manual editing or formatting.
Speechy follows a three-stage workflow: Record → Analyze → Output. Users begin by recording audio directly in the web interface, uploading an audio file, or entering a YouTube URL. Once submitted, the system transcribes the audio using AI models trained for speech recognition and speaker diarization where applicable. Next, the transcribed text undergoes semantic analysis to identify actionable elements—such as deadlines, responsibilities, topics, and content types—and categorizes them accordingly.
The Playground feature allows users to select a target output format (e.g., Blog Post, Tweet, Podcast Script) and apply one-click transformation. Each output is generated based on the original audio’s content and intent, preserving factual accuracy while adapting structure and tone. All processing occurs server-side; no client-side computation is required, and users interact entirely through the browser-based dashboard.
Speechy reduces time spent on administrative documentation tasks—turning hours of manual note-taking into seconds of automated processing. Common applications include converting team meeting recordings into annotated minutes with assigned action items, transforming lecture recordings into study-ready flashcards and summaries, repurposing podcast interviews into blog posts or social media threads, and capturing personal ideas as voice memos that auto-generate prioritized todo lists. Because it supports unlimited audio uploads and transcriptions, it scales effectively for both individual knowledge management and collaborative workflows. Integration with common productivity contexts—such as planning daily tasks, preparing presentations, drafting content, or reviewing learning material—makes it a versatile component of modern digital workflows.