A browser grid built for local CSV review and export
Use Table as a privacy-minded browser grid to open CSV files locally, reorder columns, paginate huge extracts, and export cleaned results without sending your file to a server.
正文为英文。界面语言为您当前所选,便于导航与辅助功能。
工具
Browser-based ways to open, sort, filter, compare, and export CSV files without uploading sensitive rows to unknown servers.
These pages focus on workflows where teams need a fast grid on top of a flat file: finance extracts, CRM exports, and operations spreadsheets saved as CSV.
Table is built for local-first review: parsing happens in your browser, with optional session restore on your device, a dedicated compare mode for two files side by side, and clear controls when you are done.
Use Table as a privacy-minded browser grid to open CSV files locally, reorder columns, paginate huge extracts, and export cleaned results without sending your file to a server.
Use Table to load two CSV files side by side in the browser. When headers match, see differing cell counts, jump to changed rows only, and keep both extracts on your device.
横向滚动的品牌徽标(每个会在新标签页打开官网): Google, Apple, Meta, GitHub, Stripe, Shopify, Databricks, Snowflake, Notion, Vercel, Intel, NVIDIA, Netflix, Spotify, Airbnb, Yale, Harvard University, Massachusetts Institute of Technology, Stanford University, University of California, Berkeley, Princeton University, California Institute of Technology, Columbia University, University of Chicago, Cornell University, Duke University, Carnegie Mellon University, Georgia Institute of Technology, Johns Hopkins University, Northwestern University, University of Toronto, McGill University, University of Oxford, University of Cambridge, Imperial College London, University College London, ETH Zurich, EPFL, Technical University of Munich, Sorbonne University, KU Leuven, National University of Singapore, Nanyang Technological University, Tsinghua University, Peking University, The University of Tokyo, KAIST, Seoul National University, University of Melbourne, Australian National University, University of Sydney, The University of Hong Kong.