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DeepSeek Spreadsheet Uploading: Excel And CSV File Support, Data Analysis Features, Formula Handling, And Limits

DeepSeek enables users to upload spreadsheets in popular formats, query tabular data with natural language, and extract insights from structured files. Its spreadsheet capabilities are optimized for descriptive analysis and question answering, while computation and formula execution are handled outside the platform.

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DeepSeek Supports Excel And CSV File Uploads For Table-Based Analysis.

DeepSeek’s chat interface allows direct uploading of spreadsheets, including both Excel (XLSX, XLS) and CSV formats. After upload, these files are parsed into accessible tables, making it possible to interact with rows, columns, and data fields using natural language queries.

Partner documentation and knowledge base integrations confirm support for multiple spreadsheet file types, highlighting the platform’s utility for business and research workflows that rely on table-based information.

Uploaded spreadsheets are treated as structured content, allowing users to explore, summarize, and interrogate data across common office and analytics scenarios.

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DeepSeek Supported Spreadsheet Formats

File Type

Accepted Formats

Typical Workflow

Excel

XLSX, XLS

Upload and query in chat

CSV

CSV

Upload and query in chat

The interface is designed for immediate table analysis after file ingestion.

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Data Analysis Features Focus On Summarization, Pattern Recognition, And Data Transformation.

After a spreadsheet is uploaded, DeepSeek provides a range of analytical features, including column summaries, outlier identification, descriptive statistics, and narrative restatements of table content. Users can request explanations for patterns in the data, generate human-readable summaries, or ask targeted questions about specific subsets.

The system excels at table understanding and reasoning within the constraints of the extracted data. It supports incremental, prompt-based workflows for breaking down complex analysis tasks and producing structured outputs.

For deterministic or large-scale computations, external tools such as Python, Excel, or business intelligence platforms are recommended, as DeepSeek emphasizes narrative and logic over direct calculation.

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DeepSeek Spreadsheet Data Analysis Features

Analysis Feature

Description

Notes

Column summarization

Overview of column contents

Works for text and numeric data

Outlier detection

Identify unusual values or errors

Conceptual, not statistical engine

Pattern explanation

Describe trends and relationships

Human-readable output

Data transformation

Reformat or filter table content

Prompt-driven

The emphasis is on explainability, flexibility, and user-driven exploration.

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Formula Handling Is Interpretive Rather Than Computational.

When handling spreadsheets with formulas, DeepSeek does not execute calculations or recalculate formulas from the uploaded file. Instead, it can explain, rewrite, or troubleshoot formulas on request, translating Excel or spreadsheet logic into plain language and proposing new formulas for stated goals.

Users can paste formulas for explanation, request troubleshooting advice, or ask DeepSeek to generate formulas to solve specific analytical tasks. Actual formula computation remains the responsibility of spreadsheet software or external runtimes.

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Formula Handling In DeepSeek Spreadsheet Workflows

Formula Task

Supported Behavior

Limitation

Explanation

Yes

Interpretation only

Troubleshooting

Yes

No execution or recalculation

Formula generation

Yes

Output as text

Computation

No

Use Excel or external tools

DeepSeek excels at conceptual guidance rather than acting as a formula engine.

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Practical Limits Shape DeepSeek Spreadsheet Uploading And Analysis.

DeepSeek enforces limits on spreadsheet uploads to balance performance and quality. Commonly documented constraints include a maximum file size of 20 MB, a cap of 10,000 rows and 100 columns per spreadsheet, and recommendations to keep one table per sheet and avoid empty rows for best results.

In practice, smaller file size limits may apply in the consumer chat experience, with behavior such as “file too large” or partial data loading for oversized datasets. The platform is optimized for moderate-size tables and fast, interactive analysis.

The official API does not currently support binary spreadsheet uploads. Developers are encouraged to extract content into plain text or tabular formats before embedding it in prompts for programmatic analysis.

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DeepSeek Spreadsheet Upload And Analysis Limits

Constraint

Value

Guidance

Maximum file size

20 MB

Smaller in some chat interfaces

Maximum rows

10,000

Per spreadsheet

Maximum columns

100

Per spreadsheet

Tables per sheet

1 recommended

Improves parsing

API file uploads

Not supported

Use text embedding

Staying within these limits ensures reliable upload and accurate analysis.

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DeepSeek Spreadsheet Uploading Enables Flexible, Text-Driven Table Analysis.

DeepSeek’s spreadsheet features support Excel and CSV uploads for descriptive, prompt-based analysis, focusing on pattern recognition, summarization, and formula interpretation. Limits on file size, table shape, and computation mean the platform is best used for moderate-scale, interactive exploration rather than bulk calculation or spreadsheet execution.

Users are encouraged to format their data for clarity, use plain language queries, and rely on DeepSeek for guidance and narrative insight, with heavy computation delegated to specialized spreadsheet or analytics tools.

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