Browse all benchmark articles on the MDisBetter blog.
Realistic accuracy expectations by document type — from clean digital papers (99%) to phone-photographed scans (85%). What to spot-check, what to trust.
BenchmarkWe tested 10 PDF-to-Markdown converters on 50 real documents. Methodology, results, and rankings on accuracy, structure preservation, OCR, and speed.
BenchmarkWe tested the same script recorded on a studio mic, USB headset, phone, and noisy phone. Real WER numbers per scenario plus tips to improve any recording before transcribing.
BenchmarkBroader 10-tool benchmark across 30 web pages in 5 categories (docs, news, wiki, forum, SPA). Honest scores on cleanliness, structure, JS handling, code blocks, table rendering.
BenchmarkWe tested 8 URL-to-Markdown converters on six real-world pages (Wikipedia, Stripe docs, NYT, React docs, GitHub README, Reddit). Cleanliness, structure, JS handling, code blocks scored honestly.
BenchmarkSame AI transcription tool, 8 different content types: lecture, vlog, gaming stream, podcast, interview, tutorial, talking-head, presentation. Accuracy varies wildly. Tips to improve.
BenchmarkSingle-doc deep accuracy test: one complex Word document with H1-H4, lists, tables, images, code blocks, footnotes, citations — scored across 5 converters. Per-feature comparison table.
BenchmarkHonest accuracy benchmark of 8 Word-to-Markdown tools (mdisbetter, Word2MD, Pandoc, Mammoth.js, Monkt, DocsToMarkdown, ToMarkdown, Hyperleap AI) across 5 real document types.
BenchmarkSide-by-side accuracy: YouTube auto-captions ~80-85% on clean speech, ~70% on accented/technical. Whisper-class AI ~95-98% clean, ~90% accented. Real test data, not vendor marketing.
BenchmarkWe tested 12 YouTube transcript tools on 5 video types — lecture, podcast, interview, tutorial, vlog. Honest accuracy scores, output quality, free limits. The ranking will surprise you.
ComparisonWe tested MDisBetter, Marker, Pandoc, pdf2md, Adobe, Docling, and LlamaParse. Here's how they stack up on accuracy, speed, and price.
ComparisonToken benchmarks across 5 document types show Markdown uses 60-95% fewer tokens than PDF. See the real cost difference for ChatGPT and Claude.