Redis
MongoDB
ArangoDB
Apache Cassandra
CouchBase
memcached
OrientDB
neo4j
pdfmarkdown.app
MarkItDown
CloudConvert
Adobe
Docling
Mark2PDF
Markdown Converter Pro
Markdown to File
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.
pdfmarkdown.app turns any PDF into clean, AI-ready Markdown โ and it goes both ways. Everything runs in your browser, so your file never leaves your device. No signup, no upload, free.
Most converters turn a PDF into messy text: tables collapse, formulas break, figures vanish. pdfmarkdown.app is built around fidelity โ the things that usually break come through intact:
You get the original PDF and the converted Markdown side by side, and the pages it couldn't read cleanly are flagged instead of faked โ so you can trust the output before pasting it into Obsidian, your notes, or an AI tool.
It also works the other way: paste or write Markdown โ export a polished PDF.
People who live in Markdown โ Obsidian and PKM users, researchers, and anyone prepping documents for RAG, ChatGPT or Claude.
Try it: https://pdfmarkdown.app
pdfmarkdown.appNo pdfmarkdown.app videos yet. You could help us improve this page by suggesting one.
pdfmarkdown.app's answer:
It's the rare PDF-to-Markdown converter that runs entirely in your browser โ your file is never uploaded โ while still preserving the things that usually break: tables, formulas (LaTeX) and figures. It's also bidirectional (Markdown โ PDF too), and it shows the original and the converted Markdown side by side, flagging pages it couldn't read cleanly instead of silently faking them.
pdfmarkdown.app's answer:
People who live in Markdown โ Obsidian and PKM/Zettelkasten users, researchers and students โ plus anyone preparing documents for AI: feeding clean, RAG-ready text into ChatGPT, Claude or a local LLM.
pdfmarkdown.app's answer:
No upload and no signup: it's private by default and instant, with nothing leaving your device. Free tools usually mangle tables and formulas; the heavy-duty parsers (Marker, Docling, LlamaParse) are developer/API tools. pdfmarkdown.app aims for high fidelity in a zero-setup web app a non-developer can use, and lets you verify the result before trusting it.
pdfmarkdown.app's answer:
It started from frustration: every "free PDF to Markdown" tool turned real documents โ papers with tables and formulas โ into mush, and the good ones required uploading your files or wiring up a developer API. pdfmarkdown.app was built to do the conversion right inside the browser, privately, with the tables, math and figures actually surviving โ and to be honest about the pages it can't read cleanly rather than faking them.
pdfmarkdown.app's answer:
A client-side web app (Astro) that runs the conversion entirely in the browser โ no backend processing of your file. PDF parsing is done in-browser via a pdf.js-based worker, math is rendered with KaTeX, and everything happens locally so files are never uploaded.
Based on our record, Redis seems to be more popular. It has been mentiond 237 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Why a cache server? Well, to be, a cache system is the smallest piece of software one can found everywhere. There is a reason why redis, memcached or many other projects like that are used by everybody: developers need a way to store data quick. It could be for a session, for temporary data or simply to avoid annoying the main core database. A cache service is easy to create (key/value store), and can become... - Source: dev.to / 3 months ago
Adding caching layers using services like Redis cache,. - Source: dev.to / 3 months ago
Redis works well as the queue layer for this pattern. The receiver appends events to a list or stream. Workers consume from the stream, update event status on completion, and move failed events to a dead-letter queue after exhausting retries. - Source: dev.to / 3 months ago
Bifrost supports dual-layer semantic caching with exact match and semantic similarity. Backend options include Redis for exact caching, Weaviate for vector-based semantic matching, and Qdrant as an alternative vector store. - Source: dev.to / 3 months ago
In-memory caching shared across instances. There are no sticky sessions by default (though session affinity is available on a best-effort basis). Each request might hit a different instance. If you need shared state, you need an external store like Redis or Memorystore. - Source: dev.to / 5 months ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
MarkItDown - The MarkItDown library is a utility tool for converting various files to Markdown (e.g., for indexing, text analysis, etc.).
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
CloudConvert - convert anything to anything - more than 200 different audio, video, document, ebook, archive, image, spreadsheet and presentation formats supported.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Adobe - Creativity doesnโt just open doors.