Browse all problem articles on the MDisBetter blog.
Most ChatGPT plans don't accept audio uploads. Even when they do, transcription quality is mediocre. The fix: transcribe to Markdown first, then feed to the AI.
ProblemGoogle still can't index audio content directly. Podcasts, webinars, and recorded talks remain invisible to search unless you transcribe them. Here's the SEO fix.
ProblemThree formats you might feed to ChatGPT, Claude, or Gemini. Which one wins on tokens, accuracy, and structure preservation? A decision tree with hard numbers.
ProblemEnterprise AI initiatives stall on file format. Word's XML overhead at scale wrecks token budgets and embedding quality. Here's the honest workflow — Pandoc local for batch, mdisbetter web for the curated set, then RAG.
ProblemAudio files are invisible to search tools. Convert them to Markdown and your recordings become searchable with ripgrep, Obsidian, or any text search. Here's how.
ProblemVideo is the worst-indexed media format on your hard drive. Here's why YouTube search and Finder/Explorer can't see inside videos — and how transcribing to Markdown fixes it.
ProblemChatGPT browse fails, ignores half the page, or returns vague summaries? The fix is to convert the URL to Markdown first. Step-by-step guide.
ProblemChatGPT cannot actually watch YouTube videos. Here's a side-by-side comparison of answers with and without a transcript — and the 90-second fix that closes the gap.
ProblemChatGPT silently truncating, refusing, or mangling your PDF upload? The root cause is rarely what the error message says. The real fix in 30 seconds.
ProblemClaude refusing your PDF, ignoring sections, or giving wrong answers from a document that's clearly readable? Three fixes ranked by how often they solve it.
ProblemGoogle's native Markdown export drops tables, images, and custom styles. Here's a better workflow: export as DOCX, convert with mdisbetter, get clean Markdown that preserves structure.
ProblemPractical guide for developers: convert any documentation site to Markdown, organize for Claude Projects, handle large doc sites without hitting context limits.
ProblemChatGPT's context window won't fit 200 pages. Here's the working method: convert, split by headers, feed sequentially with summaries — or use RAG.
ProblemStep-by-step guide to feeding entire websites or single pages to ChatGPT. Browse vs manual, single-page workflow, multi-page chunking, what to do when sites are huge.
ProblemSaving a webpage as PDF, HTML, or plain text all break for AI use. Here's why Markdown is the sweet spot — and the 30-second workflow.
ProblemRaw HTML pages are 80-90% noise. We measured token counts on five real pages — HTML vs Markdown — and the cost difference at GPT-4o pricing is brutal.
ProblemAround a quarter of web links break within five years. Bookmarks don't help. Save articles as Markdown for a personal archive that survives the page going dark.
ProblemStudies show 70% of meeting action items are forgotten or misremembered within 24 hours. The fix: transcribe to structured Markdown, then extract action items with AI.
ProblemManual transcription runs $1.50-3 per audio minute. AI transcription in 2026 hits 95-99% accuracy on clean audio. Here's the real cost breakdown and the better workflow.
ProblemMeeting recordings have a ~10% rewatch rate. The video sits in cloud storage forever, unused. Here's the workflow that turns recordings into 5-minute reference docs.
ProblemA podcast episode without a transcript is invisible to search engines, AI, and 95% of would-be readers. Here's the workflow that turns one episode into 10 content pieces.
ProblemRepurposing a podcast episode into blog post, threads, and quote graphics traditionally takes hours. Transcribe to Markdown + AI prompts cuts it to 5 minutes per episode.
ProblemReal measurements on 10 production documents: where tokens go, how much you save with Markdown conversion, and what that translates to in dollars.
ProblemAverage reading speed is 1.7x faster than listening. For research, study, and reference video content, reading the transcript is the obvious win — here's the workflow.