Private by default. No account required.

Private online Parquet viewer.
Built for real data work.

Inspect rows, schema, and metadata, then query with browser-supported DuckDB SQL or optional BYOK AI. Open local files, S3 objects, and URLs with no install or account.

Local file contents are not uploaded to viewparquet for viewing or SQL

How to view a Parquet file

Local/flights-200k.parquet

What's new

ResultsSource table

delay ▲

distance

time

405

0.0167

-11

370

5.5000

389

5.6667

-5

337

6.0000

303

6.0000

236

6.0833

-4

405

6.1667

-2

188

6.2500

231,083 rows

One dependable path from file to answer

Start directly: no install and no account required
Stay local: local viewing runs on-device
Query properly: DuckDB SQL in your browser
Use AI by choice: bring your own provider key

Verified bundled sample

Try the same file we use to check the viewer

The included flights-200k.parquet file is committed with the site. We inspected its Parquet metadata and decoded it locally, then used the query shown here to check the row counts and averages. You can open or download that exact file.

Rows: 231,083
Columns: 3
Row groups: 2
Compressed: 1.1 MB

Last verified August 19, 2026. DuckDB types: delay SMALLINT, distance SMALLINT, time FLOAT.

Download the Parquet file

See the public dataset verification notes and how viewparquet verifies product claims.

Bundled sampleAverage delay by distance band

Reproducible

SELECT
  CASE WHEN distance < 500 THEN 'short'
       WHEN distance < 1500 THEN 'medium'
       ELSE 'long' END AS haul,
  ROUND(AVG(delay), 2) AS avg_delay,
  COUNT(*) AS flights
FROM data
GROUP BY 1
ORDER BY 2 DESC;

haul	avg_delay	flights
short	8.96	157,291
medium	6.20	67,015
long	1.31	6,777

Run your own DuckDB SQL

01 · Query

Turn the file into a working answer.

Write browser-supported DuckDB SQL with multi-tab queries, schema autocomplete, and one-click execution. Use joins, CTEs, and window functions, then export results to Parquet, CSV, or JSON.

Query 1delays_by_haul

WITH by_haul AS (

SELECT CASE WHEN distance < 500 THEN 'short'

WHEN distance < 1500 THEN 'medium'

ELSE 'long' END AS haul,

ROUND(AVG(delay), 2) AS avg_delay,

COUNT(*) AS flights

FROM data GROUP BY 1

)

SELECT * FROM by_haul ORDER BY avg_delay DESC;

haul

avg_delay

flights

short

8.96

157,291

medium

6.20

67,015

long

1.31

6,777

3 rows

02 · Inspect

See the shape of the data, not just the first page.

Move through large result sets in a virtualized grid, inspect types and column statistics, find values in loaded rows, or filter the complete dataset with DuckDB. Practical limits depend on browser memory, the query, and result size.

Column stats

delay

SMALLINT

min -58 · max 180

null 0%

distance

SMALLINT

108–2,298 miles

delay ▲

distance

time

405

0.0167

-11

370

5.5000

389

5.6667

-5

337

6.0000

303

6.0000

236

6.0833

-4

405

6.1667

-2

188

6.2500

231,083 rows

03 · Ask

AI that works from the context you choose.

Describe what you need and the assistant drafts queries, explains your schema, and suggests fixes using the context you allow. Bring your own OpenRouter key, review sharing controls in Settings → AI, and verify generated SQL before using its results.

delay ▲

distance

time

405

0.0167

-11

370

5.5000

389

5.6667

-5

337

6.0000

231,083 rows

Chat 1+

You

What is the average delay by distance band?

Assistant

Here is a grouped query on your open file:

SELECT CASE
  WHEN distance < 500 THEN 'short'
  WHEN distance < 1500 THEN 'medium'
  ELSE 'long' END AS haul,
  ROUND(AVG(delay), 2) AS avg_delay
FROM data GROUP BY 1;

Ask anything about your data…

04 · Control

Local file viewing runs in your browser.

Local file processing runs in your browser with DuckDB-WASM, and remote object data is not proxied through viewparquet. Open from disk, S3, or a URL with keys that stay local. Optional AI is explicit and BYOK goes browser-to-provider.

See the privacy proof

NetworkXHR/Fetch

NameSource

flights-200k.parquetdisk · local

s3://analytics/events.parquetstream · direct

duckdb-eh.wasmcache

openrouter.ai/api/v1/…optional · AI

Local files stay on-device · S3 data browser-to-source · AI context browser-to-provider

Open from S3 or a URL

Live

Remote data

Query the object where it already lives.

Open a public HTTPS link, presigned URL, or s3:// object without proxying it through viewparquet. When the endpoint supports HTTP range requests, DuckDB can fetch portions of the Parquet object directly while private-bucket credentials stay in this browser. Actual transfer depends on the query, file layout, codecs, and endpoint.

Read the S3 guide

Open from S3 / URL

URLCredentials

Object URL

s3://analytics-prod/events/2024/trips.parquet

Amazon S3Cloudflare R2GCSMinIO

Compatible endpoints can serve byte ranges directly to DuckDB. Credentials sign requests in-browser and are never sent to viewparquet.

Parquet guides

Start with the task you need to finish

Direct, practical guides for opening, inspecting, converting, and querying Parquet files.

Open & view

Open a Parquet file online

Browse rows, inspect column names and types, and run SQL without an install.

Convert

Parquet to CSV

Filter the rows and columns you need, then export a spreadsheet-friendly CSV.

Convert

Parquet to JSON

Preserve nested structs and lists in a local JSON Lines export.

Excel

Open Parquet in Excel

Export the rows you need as CSV, then open that file in Excel. No .xlsx export.

Query Parquet on S3

Read public, presigned, or private objects directly from your browser.

Spatial

View GeoParquet

Inspect the attribute table, schema, and raw geometry column values.

Need a quick answer? Browse the Parquet FAQ.

Formats

Parquet-first, GeoParquet-ready.

Purpose-built for columnar files, with CSV and JSON supported when you need them, all processed locally in DuckDB-WASM.

Parquet.parquet
Native columnar
First-class
GeoParquet.geoparquet
With geometry
First-class
CSV.csv
Auto-detected schema
Supported
TSV.tsv
Tab-delimited
Supported
JSON.json
Objects or arrays
Supported
JSON Lines.jsonl
One record per line
Supported

FAQ

Questions, anticipated.

Got questions? Here are the most common ones about viewparquet.

Do my files leave the browser?

Local datasets are processed with DuckDB WASM and are not uploaded to viewparquet. Remote reads go directly from your browser to the bucket or URL. Optional AI sends your messages and applicable context directly to your configured BYOK provider; sharing controls cover preloaded schema, profile fields, and samples, while chat tools and saved AI context may also provide structural metadata or SQL.

Can I run SQL on my data?

Yes. The SQL editor supports browser-available DuckDB syntax with multi-tab queries, schema autocomplete, and exports. The AI assistant can draft queries, explain schema, and suggest fixes using the context you allow. Review generated SQL before using its results.

How does the AI assistant work?

Add your own OpenRouter/provider key for BYOK mode. Data-sharing presets control preloaded column names, types, metadata, and sample values. Your messages are always sent, and chat tools or saved AI context may also provide structural metadata or SQL.

What file types are supported?

Parquet and GeoParquet are first-class formats for the fastest path. CSV, TSV, JSON, and JSON Lines are also supported as secondary formats.

Is there a file size limit?

There is no fixed product cap, but browser and WebAssembly memory, your device, the file format and layout, codecs, and the query all affect what will open successfully. Parquet uses a view-based loading path and a paginated grid to avoid an intentional full-table copy up front; CSV and JSON still need more materialization.

Can I open files from S3 or a URL?

Yes. Open data from a public HTTPS or presigned URL, a public s3:// object, or a private bucket using in-browser access keys (or temporary STS tokens), plus S3-compatible stores like Cloudflare R2, Google Cloud Storage, and MinIO. When the endpoint supports HTTP range requests, DuckDB can fetch portions of Parquet directly; actual transfer depends on the query, file layout, codecs, and endpoint. Credentials stay in your browser and never pass through viewparquet servers.

Working with Parquet files? See the full Parquet FAQ : how to open, view, query, and convert Parquet.

Changelog

See what's new in viewparquet

2.5Jul 27, 2026

Copy cells and keep your column layout

2.4Jun 27, 2026

BYOK AI assistant for private data work

2.3Jun 24, 2026

Open Parquet from S3 & URLs — privately

2.2Jun 24, 2026

AI assistant with bring-your-own-key privacy

Learn & Explore

Latest Blog Posts

AI data pipelines, Parquet for LLM workloads, DuckDB, and columnar analytics.

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A hands-on guide to separating wrong bytes, missing footers, damaged pages, reader incompatibility, remote access failur…

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S3ParquetFeatured

How to Open Parquet from S3 Privately in Your Browser

Query Parquet on AWS S3, Cloudflare R2, GCS, or MinIO without proxying object data through viewparquet. Compatible endpo…

6/24/202611 min read

Private online Parquet viewer.Built for real data work.

Try the same file we use to check the viewer

Turn the file into a working answer.

See the shape of the data, not just the first page.

AI that works from the context you choose.

Local file viewing runs in your browser.

Query the object where it already lives.

Start with the task you need to finish

Open a Parquet file online

Parquet to CSV

Parquet to JSON

Open Parquet in Excel

Query Parquet on S3

View GeoParquet

Parquet-first, GeoParquet-ready.

Questions, anticipated.

Do my files leave the browser?

Can I run SQL on my data?

How does the AI assistant work?

What file types are supported?

Is there a file size limit?

Can I open files from S3 or a URL?

Changelog

Latest Blog Posts

Why AI-Generated SQL Fails on Parquet—and How We Ground It

Why Won’t This Parquet File Open? A Reproducible Failure Lab

How to Open Parquet from S3 Privately in Your Browser

Private online Parquet viewer.
Built for real data work.