VaultXT vs Tablet CSV

VaultXT is a local editor for large text documents. It handles the text content of .txt, .md, .log, .csv, .json, .yaml, .yml, and .arb files. Edit large files in one continuous editor, use find and replace, and let autosave run after a pause in typing. Review and restore snapshots, organize documents in named, colored, nested folders with manual ordering, and create new drafts by splitting or merging documents. Format checks are available for JSON, ARB, YAML, and YML. They never block saving and may be skipped for large files. Imported files become local working copies, separate from the external originals, and you choose the destination when exporting. Editing works offline on your device. Free includes editing, 10 open documents, 10 documents in the Library, the 10 latest snapshots per document, splitting into up to 10 pieces, and merging up to 10 documents. Pro is a one-time purchase that expands these limits, with no subscription and no ads.

Rowlens is a fast, fully offline CSV file viewer built for one job: open a spreadsheet export and read it immediately. No importing into Excel, no sign-in, nothing uploaded anywhere — your CSV and TSV files never leave your iPhone. Drop in a file and Rowlens instantly renders a clean, sortable table with a sticky header row and a pinned first column, so wide exports stay readable while you scroll. Search filters every row live as you type, and tapping any column header sorts it instantly — numbers and dates align and sort correctly, not as plain text. Rowlens auto-detects comma, semicolon, tab, and pipe delimiters along with common text encodings, so exports from any tool just open — no manual configuration. Included with Rowlens Pro: • Unlimited recent file history (the standard tier keeps your last 3) • Export the current sorted or filtered view as CSV, TSV, or Markdown • Pin multiple reference columns side by side • Instant column statistics — min, max, and average for any numeric column One-time purchase, no subscription. No account, no ads, no data collection — just a fast table viewer.