This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
๐๐จ๐ฌ๐ญ ๐๐๐ ๐ฉ๐ข๐ฉ๐๐ฅ๐ข๐ง๐๐ฌ ๐๐ซ๐๐๐ค ๐๐ญ ๐ข๐ง๐ ๐๐ฌ๐ญ๐ข๐จ๐ง, ๐ง๐จ๐ญ ๐ซ๐๐ญ๐ซ๐ข๐๐ฏ๐๐ฅ. Three parsers, three output formats, three failure modes before a single token reaches your model. EnConvert puts one interface in front of all of it. ๐น ๐ ๐จ๐ฎ๐ซ ๐๐ง๐๐ฉ๐จ๐ข๐ง๐ญ๐ฌ ๐ฅ๐ข๐ฏ๐: โข ๐๐ฆ๐ณ๐ค๐ฆ๐ช๐ท๐ฆ: any URL to clean Markdown โข ๐๐ฏ๐จ๐ฆ๐ด๐ต: PDF and DOCX for RAG โข ๐๐ฐ๐ฏ๐ท๐ฆ๐ณ๐ต: file and URL format conversion โข ๐๐ช๐ด๐ต๐ช๐ญ๐ญ: summarisation in one call ๐น MCP server: Anthropic Registry, LobeHub, Glama. ๐น Free tier: 500 ops/month, no card. ๐๐ซ๐ฒ ๐ข๐ญ ๐๐ง๐ ๐ญ๐๐ฅ๐ฅ ๐ฎ๐ฌ ๐ฐ๐ก๐๐ญ ๐๐ซ๐๐๐ค๐ฌ.
Hey Product Hunt! ๐ Krystin here, commercial co-founder at EnConvert.
We built this because every RAG pipeline and LLM agent we looked at had the same problem underneath it: a different tool for each input type, each with its own key, its own output format, and its own way of failing. The ingestion layer was the part nobody wanted to maintain but everyone had to build.
I am the non-technical half of this team, so I will keep it plain.
What is live today: four endpoints. Perceive turns any web page into clean Markdown, including JavaScript-rendered pages. Ingest handles PDF and DOCX extraction for RAG pipelines. Convert handles file and URL format conversion. Distill summarises any content in one API call. MCP server is live on the Anthropic MCP Registry, LobeHub, and Glama. Free tier is 500 ops per month, no card required.
What is coming in Phase 2: Lookup for live web search๐, Watch for page change monitoring๐, and Discover for web crawling๐ธ.
We are early. We know there are edge cases we have not hit yet. If you try it and something breaks, that is genuinely useful to us. Tell us what fails. ๐
Quick question for anyone building RAG pipelines or LLM agents: what does your current ingestion setup look like? Are you maintaining your own parsers, using a mix of tools, or something else entirely? Genuinely curious what the most common approach is before people try EnConvert!
About EnConvert on Product Hunt
โOne ingestion API for AI agents and RAG pipelinesโ
EnConvert was submitted on Product Hunt and earned 8 upvotes and 2 comments, placing #80 on the daily leaderboard. ๐๐จ๐ฌ๐ญ ๐๐๐ ๐ฉ๐ข๐ฉ๐๐ฅ๐ข๐ง๐๐ฌ ๐๐ซ๐๐๐ค ๐๐ญ ๐ข๐ง๐ ๐๐ฌ๐ญ๐ข๐จ๐ง, ๐ง๐จ๐ญ ๐ซ๐๐ญ๐ซ๐ข๐๐ฏ๐๐ฅ. Three parsers, three output formats, three failure modes before a single token reaches your model. EnConvert puts one interface in front of all of it. ๐น ๐ ๐จ๐ฎ๐ซ ๐๐ง๐๐ฉ๐จ๐ข๐ง๐ญ๐ฌ ๐ฅ๐ข๐ฏ๐: โข ๐๐ฆ๐ณ๐ค๐ฆ๐ช๐ท๐ฆ: any URL to clean Markdown โข ๐๐ฏ๐จ๐ฆ๐ด๐ต: PDF and DOCX for RAG โข ๐๐ฐ๐ฏ๐ท๐ฆ๐ณ๐ต: file and URL format conversion โข ๐๐ช๐ด๐ต๐ช๐ญ๐ญ: summarisation in one call ๐น MCP server: Anthropic Registry, LobeHub, Glama. ๐น Free tier: 500 ops/month, no card. ๐๐ซ๐ฒ ๐ข๐ญ ๐๐ง๐ ๐ญ๐๐ฅ๐ฅ ๐ฎ๐ฌ ๐ฐ๐ก๐๐ญ ๐๐ซ๐๐๐ค๐ฌ.
EnConvert was featured in API (98.7k followers), Developer Tools (519.9k followers) and Artificial Intelligence (479.3k followers) on Product Hunt. Together, these topics include over 219.9k products, making this a competitive space to launch in.
Who hunted EnConvert?
EnConvert was hunted by EnConvert. A โhunterโ on Product Hunt is the community member who submits a product to the platform โ uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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EnConvert
Hey Product Hunt! ๐ Krystin here, commercial co-founder at EnConvert.
We built this because every RAG pipeline and LLM agent we looked at had the same problem underneath it: a different tool for each input type, each with its own key, its own output format, and its own way of failing. The ingestion layer was the part nobody wanted to maintain but everyone had to build.
I am the non-technical half of this team, so I will keep it plain.
What is live today: four endpoints. Perceive turns any web page into clean Markdown, including JavaScript-rendered pages. Ingest handles PDF and DOCX extraction for RAG pipelines. Convert handles file and URL format conversion. Distill summarises any content in one API call. MCP server is live on the Anthropic MCP Registry, LobeHub, and Glama. Free tier is 500 ops per month, no card required.
What is coming in Phase 2: Lookup for live web search๐, Watch for page change monitoring๐, and Discover for web crawling๐ธ.
We are early. We know there are edge cases we have not hit yet. If you try it and something breaks, that is genuinely useful to us. Tell us what fails. ๐
Krystin, Het, and Om