DeepTable

Paid APILinux

What DeepTable is

DeepTable converts human-formatted Excel spreadsheets into structured tables suited to relational SQL workflows. Its cloud API accepts .xlsx files up to 100MB and can return results as SQLite, Parquet, or CSV. The provider says its LLM-powered engine handles spreadsheet structure and relationships, including merged cells, complex layouts, and visual formatting. Each output value includes a reference to its source cell, making it possible to trace values back to the spreadsheet. Listed uses include preparing data for RAG pipelines, supporting AI agents that process business spreadsheets, SaaS spreadsheet ingestion, and enterprise internal tools. Developers can use TypeScript, Python, or Go libraries, as well as a CLI tool; the listed platforms are API and Linux. The service is cloud deployed and provided by Totoy GmbH, based in Vienna, Austria. The privacy policy says uploaded spreadsheets, processing results, and other user data are not used to train or fine-tune AI models. Users choose how long to retain files and results and can delete them at any time. Data is protected with encryption in transit and at rest. Pricing is available on request.

Who it suits

It suits developers and teams turning business spreadsheets into structured data for SQL workflows, RAG pipelines, AI agents, SaaS products, or internal tools. Its API and SDKs are oriented toward technical integration.

What it does well

Accepts Excel .xlsx files up to 100MB.
Outputs SQLite, Parquet, or CSV.
Output values reference their source spreadsheet cells.
Offers TypeScript, Python, and Go libraries plus a CLI.
Users can delete uploaded files and results at any time.

What to know first

Accepts Excel .xlsx input only.
Pricing is available on request.
Deployment is cloud.

Limits

The API accepts .xlsx files up to 100MB. DeepTable is paid, with pricing available on request.

Getting started

Visit DeepTable’s website.
Request pricing for the paid service.
Prepare an Excel .xlsx file no larger than 100MB.
Use the API with a TypeScript, Python, or Go library, or the CLI.
Choose how long to retain uploaded files and processing results.

Verdict

DeepTable focuses on converting complex Excel layouts into structured, traceable data, with several output formats and developer tools. Buyers should note its .xlsx input requirement and request pricing directly.

Questions

How much does DeepTable cost?

DeepTable is paid, and pricing is available on request.

Which spreadsheet files can the API accept?

The API accepts Excel .xlsx files up to 100MB.

What output formats does DeepTable provide?

Its listed structured output formats are SQLite, Parquet, and CSV.

Which developer tools are available?

The API reference lists TypeScript, Python, and Go libraries, plus a CLI tool.

Does DeepTable use uploaded data to train AI models?

The provider says it does not use uploaded spreadsheets, processing results, or other user data to train or fine-tune AI models.

Who provides DeepTable, and where are they based?

Totoy GmbH provides DeepTable and is based in Vienna, Austria.

Facts from DeepTable's own pages

AI provider retention: The privacy policy says AI providers are restricted from training on user data and may retain it for up to 30 days for abuse monitoring and legal compliance. · deeptable.com, 9 Oct 2026
API input format: The API reference says uploaded files must be Excel .xlsx files. · docs.deeptable.com, 4 Oct 2026
Cell traceability: The site says every output value includes a reference to its source cell. · deeptable.com, 4 Oct 2026
Company: DeepTable is a service provided by Totoy GmbH, whose legal notice lists its address in Vienna, Austria. · deeptable.com, 9 Oct 2026
Data retention: Uploaded spreadsheets and processing results are kept while the user chooses to keep them and can be deleted at any time. · deeptable.com, 9 Oct 2026
Developer tools: The maker provides Python, TypeScript, and Go libraries, plus a CLI. · docs.deeptable.com, 9 Oct 2026
Headquarters: Vienna, Austria · deeptable.com, 28 Sept 2026
Input limit: The API accepts Excel (.xlsx) files up to 100MB. · deeptable.com, 9 Oct 2026
Output formats: Structured data can be downloaded as SQLite, Parquet, or CSV. · deeptable.com, 9 Oct 2026
Parsing: Its LLM-powered engine analyzes spreadsheet structure, relationships, and meaning, including merged cells, complex layouts, and visual formatting. · deeptable.com, 9 Oct 2026
Privacy and AI training: The privacy policy says DeepTable does not use uploaded spreadsheets, processing results, or other user data to train or fine-tune AI models. · deeptable.com, 4 Oct 2026
Purpose: DeepTable converts messy, human-formatted spreadsheets into clean, relational SQL-ready tables. · deeptable.com, 9 Oct 2026
SDKs and CLI: The API reference lists TypeScript, Python, and Go libraries plus a CLI tool. · docs.deeptable.com, 4 Oct 2026
Security: The privacy policy says data is encrypted in transit and at rest, and uploaded user data is not used to train or fine-tune AI models. · deeptable.com, 9 Oct 2026
Support and availability: The maker says DeepTable is in private beta and invites AI engineering teams to book a demo; a support email is listed as [email protected]. · deeptable.com, 9 Oct 2026
Supported input: The API documentation says uploaded files must be Excel (.xlsx) format. · docs.deeptable.com, 9 Oct 2026
Traceability: The product says each output value includes a reference to its source cell. · deeptable.com, 9 Oct 2026
Use cases: The maker describes use for RAG pipelines, AI agents, SaaS spreadsheet ingestion, and enterprise internal tools. · deeptable.com, 9 Oct 2026
What it does: DeepTable converts messy, human-formatted spreadsheets into clean, relational SQL-ready tables. · deeptable.com, 4 Oct 2026

Where DeepTable stands on Freedom251

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