Upload your file and get timestamped transcriptions back. HappySRT also spits out multi-language translations plus content summaries—all from that single upload. The AI pipeline takes your audio or video and outputs SRT-ready text with precise timing markers. Drop in raw footage or paste a YouTube URL. Three separate result tabs appear for each function.
Projects stay isolated through the thread system. Every upload creates its own thread. That thread stores transcription output next to translation variants and summary formats. Toggle between highlights, bullet points, or quick notes (depends on what your client needs or how you're repurposing content). A podcast producer working through back catalog episodes? They can maintain separate threads per episode. No cross-contamination.
Export options give you flexibility. Download SRT files directly. Copy formatted text. Save results to your synced workspace. Google sign-in keeps threads accessible across devices. Guest mode hands you 20 media tokens—test the workflow before committing to an account.
File size determines token consumption. A two-hour interview drains more tokens than a ten-minute clip. HappySRT's open-source foundation lets you inspect how it handles media. Heavy users will eventually hit the token limit and need an upgrade.
There's a permanent tutorial thread in your workspace. Nice touch—it demonstrates functionality without cluttering your actual work area. YouTube integration works smoothly for creators pulling content from their channel. Speed matters here more than elaborate formatting options.
