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BigLeaf
Read huge JSON and JSONL files locally on your Mac
Open large JSON, JSONL, and NDJSON files without loading the whole file into RAM. Browse records in a two-pane view, expand nested data, search and filter matches, jump to a record, and copy values or key paths. A 21.5GB JSONL used about 69MB of RAM in an Apple Silicon benchmark. Read-only; your files stay on your Mac. Free at any file size, with optional tips only. Requires macOS 14+.
Hi Product Hunt! I’m the maker of BigLeaf, a free, read-only JSON, JSONL, and NDJSON viewer for Mac.
BigLeaf is built for inspecting large logs, database exports, and API dumps. It uses memory mapping and a sparse index instead of loading the entire file into RAM. In an Apple Silicon benchmark, a 21.5GB JSONL used about 69MB of RAM.
Scroll through records on the left and expand the selected record as a tree on the right. Search the whole file with literal substring matching, filter down to matching records, jump to a record number, and copy values, key paths, raw lines, or formatted records. Lines that aren’t valid JSON remain visible as raw records. Root-array JSON is supported too.
Your files never leave your Mac, and BigLeaf opens them read-only. No accounts, analytics, telemetry, or cloud uploads.
Version 1.2.0 removes the old 100MB limit. Every feature is free at any file size. The optional Tip Jar supports development and unlocks nothing. Requires macOS 14 or later; supports Apple Silicon and Intel Macs.
I’d love to hear what kinds of large JSON or JSONL files you need to inspect, and which parts of that workflow are hardest today.
About BigLeaf on Product Hunt
“Read huge JSON and JSONL files locally on your Mac”
BigLeaf was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #133 on the daily leaderboard. Open large JSON, JSONL, and NDJSON files without loading the whole file into RAM. Browse records in a two-pane view, expand nested data, search and filter matches, jump to a record, and copy values or key paths. A 21.5GB JSONL used about 69MB of RAM in an Apple Silicon benchmark. Read-only; your files stay on your Mac. Free at any file size, with optional tips only. Requires macOS 14+.
On the analytics side, BigLeaf competes within Mac, Productivity and Developer Tools — topics that collectively have 1.3M followers on Product Hunt. The dashboard above tracks how BigLeaf performed against the three products that launched closest to it on the same day.
Who hunted BigLeaf?
BigLeaf was hunted by key115. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of BigLeaf including community comment highlights and product details, visit the product overview.
key115