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AI · alternatives · 2026

24 alternatives to DeepTable – an API that converts messy Excel files into structured data

We tried to build an Excel error checker. To achieve that, we needed to actually understand the semantic structure of a spreadsheet first. So we built that, and it turned out to be the harder, more general problem. The core issue: most real-world spreadsheets aren't relational tables. Merged cells, multi-level headers, multiple tables per sheet, totals mixed in with data. You can't just dump them to CSV and call it done. LLMs handle the easy cases but fall apart on complex workbooks at scale. Our approach uses an agent-guided compilation pipeline that produces SQL-ready relational tables…

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    Hi folks. I've been doing some experiments on how LLMs could get more handy in the day to day of working with files (CSV, Parquet, etc). Earlier last year, I built https://datakit.page and evolved it over and over into an all in-browser experience with help of duckdb-wasm. Got loads of feedbacks and I think it turned into a good shape with being an adhoc local data studio, but I kept hearing two main things/issues: Why can't the AI also change cells in the file we give to it? Why can't we modify this grid ourselves? So besides the whole READ and text-to-SQL flows, what seemed…

    Feb 2026 · opensheet.app · its alternatives →

  2. 2
    Rows▲511

    Import business data and analyze it using plain language.

    2021 · rows.com · its alternatives →

  3. 3
    Retable▲756

    Airtable alternative - one tool to replace them all

    2024 · retable.io · its alternatives →

  4. 4
    Sheetsu▲537

    Turn Google Spreadsheet into API

    2015 · sheetdb.io · its alternatives →

  5. 5
    Fieldbook▲592

    Create a database, as easily as a spreadsheet

    2015 · fieldbook.com · its alternatives →

  6. 6

    Transform unstructured data into actionable data, instantly

    2024 · portday.com · its alternatives →

  7. 7

    Features Spreadsheet-like interface All you want is here • Cell Editing: Directly click and edit content within cells. • Formula Support: Input mathematical and logical formulas to auto-calculate values. • Data Sorting and Filtering: Sort data based on a column or multiple columns; use filters to view specific rows of data. • Aggregation Function: Automatically summarize statistics for each column, providing instant calculations like sum, average, count, max, and min for streamlined data analysis. • Data Formatting: formatting numbers, dates, etc. • Grouping: Organize rows into collapsible…

    2024 · github.com · its alternatives →

  8. 8SA

    Hi HN! I’m Eoin, founder of Sourcetable (https://sourcetable.com). Sourcetable is an AI-native spreadsheet that syncs with all your data. Users pair with an AI copilot that helps them do their spreadsheet work, as well as more database-centric analysis and SQL. Soucetable syncs with databases including Postgres, MySQL, and MongoDB, and over 100+ business applications including Stripe, Zendesk, Hubspot, Quickbooks and Google Analytics. That data is available in a spreadsheet, and any models you build automatically update in near-real-time as new data flows in. The core primitives…

    2024 · its alternatives →

  9. 9

    Use your Google Sheets as a JSON API. Connect Google Spreadsheets with your CRM or any other tool using JSON API and RESTful requests.

    2015 · sheetsu.com · its alternatives →

  10. 10

    We built what we're calling "operational spreadsheets" – spreadsheets that can actually execute actions across external systems, not just calculate and display data. The core idea: spreadsheets have been passive tools for 40 years. You put data in, formulas process it, you export it, manually move it somewhere else, repeat. We added bidirectional API integration with natural language commands, so the spreadsheet itself can send emails, update databases, orchestrate workflows across services – autonomously. Think of it as the evolution from VisiCalc → Excel → Google Sheets (multi-user) →…

    2024 · sourcetable.com · its alternatives →

  11. 11
    SheetBest▲276

    Turn a SpreadSheet (Google or Excel) into a REST API

    2019 · sheetbest.com · its alternatives →

  12. 12SA
  13. 13
    Grist▲290

    Evolution of spreadsheets to organize your data, your way

    2021 · getgrist.com · its alternatives →

  14. 14

    Import messy CSV/Excel to databases with auto map & validate

    2022 · its alternatives →

  15. 15
    ManyExcel▲197

    Convert your text into spreadsheet formulas with AI

    2024 · its alternatives →

  16. 16

    Sheetlabs lets you turn Excel and Google Sheets into powerful APIs. No development required!

    2014 · sheetlabs.com · its alternatives →

  17. 17
    Slate▲109

    Making Spreadsheets Understandable.

    2014 · useslate.com · its alternatives →

  18. 18

    Hi HN, I've been tinkering/building AI applications that require interaction with spreadsheets (Excel / Google Sheets). Realized that LLMs don't work off-the-shelf when it comes to producing correct, reliable output for spreadsheets, regardless of how you wish to encode it (JSON, markdown, XML, etc.) After prompting, fine-tuning LLMs to work for my applications, decided to expose the functionality as an API to this community. Eager to see if it is helpful/of interest to others. Let me know if you need an invite.

    2025 · parseclabs.ai · its alternatives →

  19. 19

    The spreadsheet built for big data

    2023 · gigasheet.com · its alternatives →

  20. 20RC
  21. 21

    Turn a Google Spreadsheet into a JSON API

    2023 · sheetdb.io · its alternatives →

  22. 22
    TriCo▲69

    Converts a correctly formatted spreadsheet to MySQL/Mongo

    2021 · github.com · its alternatives →

  23. 23

    Hey HN, I’m the author. I built Misata because existing tools (Faker, Mimesis) are great for random rows but terrible for relational or temporal integrity. I needed to generate data for a dashboard where "Timesheets" must happen after "Project Start Date," and I wanted to define these rules via natural language. How it works: LLM Layer: Uses Groq/Llama-3.3 to parse a "story" into a JSON schema constraint config. Simulation Layer: Uses Vectorized NumPy (no loops) to generate data. It builds a DAG of tables to ensure parent rows exist before child rows (referential integrity).…

    Dec 2025 · github.com · its alternatives →

  24. 24AW

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →