A log file viewer that runs in your browser — and never uploads a byte

Why local log analysis matters

Logs are some of the most sensitive files an engineer touches. They can contain user identifiers, IP addresses, auth tokens, internal hostnames, request payloads, and stack traces that leak more than anyone intended. Shipping that to a third-party cloud log service is convenient, but for a one-off incident investigation — or for logs that fall under HIPAA, GDPR, or PCI rules — it is often the wrong trade-off. You end up either setting up an ingestion pipeline you do not need, or copying regulated data into a system you do not fully control.

OmniGrid takes the opposite approach. It is a privacy-first,100% client-side data viewer that runs entirely in your browser. When you open a log file, it is read and processed on your own device — there are no uploads, no servers, and zero network requests for the log data itself. That makes it a natural fit for the kind of sensitive logs you cannot, or would rather not, hand to a cloud tool.

Open 10GB+ log files without crashing your machine

Production log files get large fast, and most viewers assume the whole file fits in memory. Open a multi-gigabyte log in a plain text editor and it either takes minutes or falls over. OmniGrid was built on the opposite assumption — that the file is bigger than your RAM, and that is fine. Three pieces work together to make that possible:

• A Rust engine compiled to WebAssembly (WASM) parses the log at near-native speed — far faster than the JavaScript parsers most in-browser tools rely on.
• A streaming architecture backed by IndexedDB reads the file in chunks and writes parsed rows to on-device storage instead of holding it all in RAM. Memory stays roughly flat whether the log is 500 MB or 10 GB.
• Web Worker isolation keeps that heavy work off the main thread, so the interface never freezes while a huge log loads. You can start scrolling and inspecting lines before parsing finishes.

The result is a log viewer that opens files a text editor chokes on, scrolls smoothly, and stays responsive — in any modern browser (Chrome, Firefox, Safari, Edge), with no install.

Query logs with SQL instead of squinting at them

Viewing a log is only half the job — you usually need toask it questions. On the Pro plan, OmniGrid includes a full in-browser SQL query engine that runs directly against your streamed log data on the device. That turns log analysis from scrolling and eyeballing into precise, repeatable querying:

1. Filter to a time window or a specific status withWHERE, instead of paging through thousands of lines.
2. Aggregate with GROUP BY — count errors per endpoint, tally status codes, or find the noisiest host in seconds.
3. Join two logs together — for example, correlate an access log with an application log to trace a request end to end.
4. Use window functions for running totals, rankings, or per-session sequencing to reconstruct what happened in order.

Compared with grep, this is the difference between matching a line and actually analyzing the dataset. grep is perfect for a quick substring hunt, but it does not aggregate, join, or rank; SQL does all of that in one pass. When you have narrowed things down, Pro lets you export the result to CSV or JSON so it slots into an existing pipeline rather than replacing it. Pro also adds AI insights using your own API key, so the log content still never leaves your control.

OmniGrid vs a cloud log platform, at a glance

Cloud log tools are excellent for always-on, team-wide observability. But for ad hoc investigations and sensitive files, a local viewer wins on the things that matter most:

• Data location: cloud tools ingest your logs onto their servers; OmniGrid processes everything locally and transmits nothing.
• Setup: no agents, no ingestion pipeline, no account required to try — drag a file in and start querying.
• Cost: no per-GB ingestion bill for a one-off dig through a single large file.
• Power: a full SQL engine with aggregates, joins, and window functions on Pro, running on files that would be expensive to ingest elsewhere.

OmniGrid is not trying to replace your production observability stack — it is the tool you reach for when you have one big log, sensitive data, or no time to set up a pipeline. Explore more scenarios on ouruse cases overview.

Try it on your biggest log

You can start for free to feel how fast the engine is on real data. When you are ready to open multi-gigabyte logs, display unlimited rows, and run SQL — plus open JSON, Excel, and Parquet — thePro plan ($19/mo or $190/yr) unlocks all of it. Nothing gets uploaded either way.

Open your log file in OmniGrid now →

Frequently asked questions

How do I view a large log file in the browser?

Open app.omniview.tech and drag your log file into OmniGrid. A Rust engine compiled to WebAssembly parses the file inside a Web Worker and streams rows to on-device IndexedDB, so multi-gigabyte logs open in a browser tab without loading everything into RAM. There is no install, no account required to try, and the log is never uploaded — every byte is processed locally on your machine.

Can I run SQL queries on log files?

Yes, on the Pro plan. OmniGrid includes a full in-browser SQL query engine, so you can treat a log file like a table: filter with WHERE, count and summarize with GROUP BY aggregates, join two logs together, and use window functions for running totals or per-session sequencing. It runs directly against the streamed data on your device, which is far faster and more precise than scrolling or grepping by eye.

Is it safe to analyze logs that contain sensitive data?

OmniGrid is 100% client-side — there are no uploads, no servers, and zero network requests for your log data. Because nothing is transmitted, it suits logs that fall under HIPAA, GDPR, or PCI constraints and logs you simply are not allowed to ship to a third-party cloud service. Final compliance always depends on your own environment, but the tool itself never moves your data off the device.

What log formats and sizes does OmniGrid handle?

OmniGrid opens plain log files alongside CSV, JSON, Excel, and Parquet. On Pro there is no file-size cap: the streaming architecture handles 10GB+ logs by processing them in chunks backed by IndexedDB, keeping memory roughly constant regardless of file size. The free tier is limited to CSV up to 50 MB and displays up to 10,000 rows, which is enough to evaluate the engine before upgrading.

Why not just use grep or a cloud log tool?

grep is great for a quick line match but awkward for aggregation, joins, and interactive exploration across a huge file. Cloud log platforms are powerful but require shipping your logs to someone else’s servers — a non-starter for sensitive or regulated data, and a cost and latency hit for one-off investigations. OmniGrid gives you an interactive grid plus real SQL, entirely on your own machine, with nothing leaving the device.