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Markdown Converter Pro
Markdown to File
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
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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.
i like reddit very much
Based on our record, Reddit seems to be more popular. It has been mentiond 3301 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.
From urllib.parse import urlparse Def normalize_gh(r): return { "title": r["name"], "url": r["url"], "source": "github", "score": r["stars_this_period"], "desc": r.get("description", ""), "date": r["trending_date"], "lang": r.get("language"), } Def normalize_hn(p): return { "title": p["title"].replace("Show HN: ", ""), "url":... - Source: dev.to / 3 months ago
@tool Def search_reddit(keywords: str, max_results: int = 20) -> list[dict]: """Fallback: search Reddit directly via PRAW.""" reddit = praw.Reddit( client_id=os.environ["REDDIT_CLIENT_ID"], client_secret=os.environ["REDDIT_CLIENT_SECRET"], user_agent="doug-agent/1.0", ) candidates = [] for submission in reddit.subreddit("all").search(keywords, sort="new",... - Source: dev.to / 3 months ago
Import requests Import time Def fetch_subreddit_posts(subreddit, sort="hot", limit=25): url = f"https://www.reddit.com/r/{subreddit}/{sort}.json" params = { "limit": limit, "raw_json": 1, # Prevents HTML encoding in responses } headers = { "User-Agent": "PythonScraper/1.0 (research project)" } response = requests.get(url, params=params, headers=headers) if... - Source: dev.to / 4 months ago
From sessionkeeper import SessionKeeper Async with SessionKeeper("reddit") as sk: page = await sk.get_authenticated_page("https://reddit.com") # You're logged in. Do your automation. await page.goto("https://reddit.com/r/blender/submit"). - Source: dev.to / 5 months ago
It's completely free, and takes just moments to set up - you just need to create an account, and set up keywords for the service to track. When your keywords are mentioned on Reddit, Hackernews, or Lobste.rs, you'll get a tidy little email in your inbox. - Source: dev.to / over 1 year ago
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