T3XTR a Text Transformation API

Hacker News

I recently went looking for an API to do some text conversions ( markup->html) I found OUTRAGEOUS prices. The lowest entry was cloudconvert at $9 a month for 1000 roughly conversions. I can't give the exact number because they have a complicated credit system, and some conversions cost more than others. ConvertAPI has a 1000 conversion tier, at $30 a month. It's ridiculous. So I built t3xtr, it's a clean simple API with 100 free conversions a month. You can get a plan for as low as $6 that gives you 5000 per month. It can convert Markdown ↔ HTML, HTML → PDF, PDF → Text, JSON ↔ YAML, CSV ↔ JSON, and Text cleaning/normalization. It's a custom nodejs server using plugins and it's nothing you couldn't do at home, but it's fast, it's easy, and it's free.

Visit product View on Hacker NewsJun 21, 2025

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

53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsMay not resonate with HN audience · Strong signals: 000, io · Missing: https docs, excited, just released

48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal

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

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: using · Missing: mac, agents, macos

15%15% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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