Convert2PDF API – Convert, Compress, and Capture PDFs and Images

Hacker News

Hey HN We’ve just opened Convert2PDF API (Beta) — a developer-focused API suite for working with PDFs and images. We built it to simplify document conversion workflows (without dealing with headless browsers or Ghostscript setups). Current API features: - Remove Metadata from PDF - Covert PDF to Doc - Convert Web Page → PDF - Convert Documents (DOCX, ODT) → PDF - Merge, Split, and Compress PDFs - Conver Images to PDF - Compress Images - and many more... Try it instantly We’ve made a Playground to test all APIs without writing code or creating an account. https://convert2pdfapi.com?utm_source=hackernews&utm_medium=... Why we built it While working on a client project, we needed an API to convert reports from HTML and URLs to PDF. Most existing tools were either too limited, expensive, or required browser setups. So we built a lightweight, hosted alternative that’s easy to integrate into SaaS apps and automation workflows. Feedback We’re still in beta and would love feedback — especially from devs who’ve dealt with PDF generation or automation before. Also curious what kind of pricing or usage model feels right for such an API. Thanks for checking it out!

Visit product View on Hacker NewsOct 24, 2025

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

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, io · Missing: https docs, excited, just released

52%52% 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: apps · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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