I made HappySRT to transcribe, translate, & summarize easily

Name: I made HappySRT to transcribe, translate, & summarize easily
Availability: InStock
Author: Rizzist

by Rizzist·Feb 20, 2026·1 point·0 comments

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AI Analysis

●MidCozyShip It

Threaded transcription + translation + summarization, but Opus Clip, Rev, and Descript own this category.

Strengths

•Clean UX with thread-based organization keeps projects separated; media token system is transparent
•Chains transcribe → translate → summarize in one app; SRT/JSON/PDF exports cover creator workflows

Weaknesses

•Crowded space: Descript, Adobe Premiere, Opus Clip, Rev all do this at scale with better integrations
•No unique angle: AI transcription is commodity; translations via OpenAI API, not novel. Guest token limit (20) is aggressive anti-sticky design

Post Description

Had some friends in the Media Space (think super into cameras, video editing, vfx, etc...) & 3 years ago they asked me to make a simple srt editor. Fast forward 3 years later (& with much more programming skills under my belt) - spent the last 2 weeks rewriting HappySRT to allow media uploads, threads (like chatgpt), transcribe uploaded files w/ SRT Editing, Translate the transcribed file (also each translation is individually editable & savable), as well as summarize what the video/audio is about (it does it via the transcription).

I used Appwrite, Deepgram, NextJS Pages Router, OpenAI API, UpliftAI Scribe, and my favorite npm packages to create this: npm i styled-components & npm i styled-icons

Launching on Play Store soon (I used next-pwa for that, which meant I couldn't use turbopack but instead used webpack) & submitted it already for approval, hope it goes well.