Compress-san, simple batch video compression and SRT subtitle creation

Hacker News

Greetings all, Just released a new iOS app called Compress-san. It's an easy-to-use utility to compress videos taken on iPhone, and then generate SRT files with transcriptions of any spoken word inside of the clip. Had a friend who was creating work instructions and using videos to insert clips into the work instructions. This app allowed him to generate on-device subtitle SRT files to pass along into another LLM for creation of the general work instructions. He can then use the compressed video to create small video clips of key processes and throw on a shared drive. Some additional nice features include batch processing of up to 10 videos at once, iPad UI support, local on-device translation of SRT files into 23 languages, and native support of the UI for Spanish and Japanese languages. Welcome to any feedback or additional ideas.

Visit product View on Hacker NewsAug 25, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, using · Missing: mac, agents, macos

82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

60%60% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: ios, video · Missing: mobile apps, personal, entrepreneurs

59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: just released, ide, io · Missing: https docs, excited, exist

39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

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2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

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