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GigaJSON
View, edit and query large JSON files in your browser
Explore JSON files up to 1 GB in tree and table views, depending on available memory. Edit, query and compare data locally. Includes 29 free tools, a token counter, JSON to TOON, and Chrome & Firefox extensions. Free, no account needed.
Hi everyone! I built GigaJSON while working on an AI security project.
We had large JSON files with device and usage data from services like Jamf and Intune. Opening those files could get slow, and I kept switching between tools to find, edit and compare things. I started building GigaJSON for my own work, then put it online for others to use.
The main focus is large JSON files. You can explore them in tree and table views, edit values, search, run JSONPath, JMESPath or jq queries, and compare documents.
I also added 29 free tools for smaller tasks, including formatting, validation, conversion, token counting and JSON to TOON. There are Chrome and Firefox extensions for viewing JSON responses directly in your browser.
File contents are processed locally in your browser. It is free, and you do not need an account.
A quick note on size: tree and table views support JSON files up to 1 GB, depending on your device and available memory. The default limit is 512 MB; you can raise it in Preferences. Individual tools have smaller limits: jq is 20 MB, CSV/YAML input and JSON repair are 128 MB, and the token counter and TOON converter accept up to 2 MiB.
I’d love for you to try it with a file you normally struggle with. Please tell me what feels useful, confusing or missing. What’s your biggest frustration when working with JSON?
“View, edit and query large JSON files in your browser”
GigaJSON was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #36 on the daily leaderboard. Explore JSON files up to 1 GB in tree and table views, depending on available memory. Edit, query and compare data locally. Includes 29 free tools, a token counter, JSON to TOON, and Chrome & Firefox extensions. Free, no account needed.
On the analytics side, GigaJSON competes within Chrome Extensions, Productivity and Developer Tools — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how GigaJSON performed against the three products that launched closest to it on the same day.
Who hunted GigaJSON?
GigaJSON was hunted by Amir Badi. 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 GigaJSON including community comment highlights and product details, visit the product overview.
Amir Badi
Hi everyone! I built GigaJSON while working on an AI security project.
We had large JSON files with device and usage data from services like Jamf and Intune. Opening those files could get slow, and I kept switching between tools to find, edit and compare things. I started building GigaJSON for my own work, then put it online for others to use.
The main focus is large JSON files. You can explore them in tree and table views, edit values, search, run JSONPath, JMESPath or jq queries, and compare documents.
I also added 29 free tools for smaller tasks, including formatting, validation, conversion, token counting and JSON to TOON. There are Chrome and Firefox extensions for viewing JSON responses directly in your browser.
File contents are processed locally in your browser. It is free, and you do not need an account.
A quick note on size: tree and table views support JSON files up to 1 GB, depending on your device and available memory. The default limit is 512 MB; you can raise it in Preferences. Individual tools have smaller limits: jq is 20 MB, CSV/YAML input and JSON repair are 128 MB, and the token counter and TOON converter accept up to 2 MiB.
I’d love for you to try it with a file you normally struggle with. Please tell me what feels useful, confusing or missing. What’s your biggest frustration when working with JSON?
Browser extensions are also available:
Get GigaJSON for Chrome
Get GigaJSON for Firefox
Thanks for taking a look!