Messy PDFs, slide decks, spreadsheets, and web pages become clean, structured text for AI pipelines once Docling Serve has converted them. Open the built-in playground, paste a link or drop a file, and press Convert to see the result beside the options that produced it. A page viewer draws the detected layout over each scanned page, with filters for text, tables, and pictures. Output tabs show Markdown, HTML, and JSON, and one click downloads everything as a zip. The options panel picks OCR engines, table structure models, picture descriptions, code and formula enrichment, and chart extraction, each with its own preset. Copy the exact request as a curl command or a Python snippet and move it straight into production code. A Server tab lists the limits, supported sources and targets, installed library versions, and every model preset the instance offers. Optional API keys, S3 or Google Drive sources, and async task queues cover shared team deployments. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

See exactly what your documents look like before a retrieval pipeline swallows them. Chunky puts the original PDF next to the converted Markdown with page-aware scrolling, so broken tables, scrambled columns, and stray artifacts are visible at a glance. Pick a converter, edit the Markdown by hand, then split it into color-coded chunks you can edit, delete, or enrich one at a time. Compare two converters on the same pages in a side-by-side dialog to find which one handles your layouts best. Try token, recursive, sentence, semantic, table, code, and heading-based splitters with adjustable size and overlap, and save the chunk sets that work. Optional model-powered enrichment adds titles, one-sentence context, summaries, keywords, and retrieval questions to each chunk. Process many documents in one batch and export everything as a ZIP. Judge chunk quality by eye, not by guesswork, before any of it reaches an embedding model. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.