Run Google AI Gemini on Excel/CSV lines - In Bulk

Working with large spreadsheets? Lists of products, contacts, feedback, or records often need AI processing. Going row by row to summarize text, generate descriptions, translate content, or analyze information takes time. Google's Gemini AI can handle these tasks, but applying it to thousands of rows is another story.

The challenge isn't Gemini's capability; it's the logistics. Setting up bulk processing usually means writing scripts, managing rate limits, handling inevitable errors, and retrying failed requests.

Datablist acts as the bridge between your Excel or CSV files and the power of Google Gemini. With Datablist, you write a single prompt and use simple variables ({{Column Name}}) to pull data from your spreadsheet.

Why use Datablist to run Gemini in bulk?

Datablist turns Gemini into a batch processor for CSV and Excel files.

• No collection record limit: Run Gemini on a few rows or a large CSV file. Datablist handles large collections.
• Use your own API key: Connect your Google AI API key and pay Google directly for Gemini usage.
• Retries and throttling: Datablist manages API throttling and retries failed Gemini requests.
• Status for each row: Each record keeps its processing status. Filter errors, fix input data, and retry failed rows.
• Structured outputs: Define multiple output fields and write each Gemini response field to its own column.

Step-by-Step: Processing Your Spreadsheet with Gemini via Datablist

Step 1: Upload Your CSV or Excel File to Datablist

First, get your data into Datablist. Sign up for a free account. Datablist is built for large datasets. Create a new "Collection" and upload your CSV or Excel file.

Step 2: Choose the "Ask Gemini" Enrichment

Once your data is loaded, click the "Enrich" button. Search for or find the "Ask Gemini" enrichment.

Step 3: Craft Your Prompt Using Variables

Tell Gemini what to do. In the configuration panel, write your instruction. Use {{Column Name}} to insert data dynamically from your spreadsheet.

Example Prompt:

Write a short, engaging marketing description for {{Product Name}} highlighting these features: {{Features}}.

You can also add a "System Prompt" to guide Gemini's role or output format.

Step 4: Specify Where to Save Gemini's Output (Text or Structured)

Gemini can return a single text result or structured data (list of defined outputs). Datablist handles both.

Single Text Result Simply tell Datablist which column (new or existing) should store Gemini's response.

Structured Output If your prompt asks for multiple details, enable the "Define outputs format" option.

Then, map each piece of structured information (e.g., 'company_name', 'contact_person') to specific columns in your spreadsheet.

Step 5: Test on a Sample, Then Run for All Rows

Datablist first runs your prompt on a small sample (e.g., 10 rows) so you can check the results in real-time. Review the output carefully.

If the results look good, click "Run enrichment on all items" to apply the prompt to your entire dataset. Datablist manages the API calls and retries.

Frequently Asked Questions (FAQ)

What's the cost involved?

Using the Gemini enrichment in Datablist is free. However, you need your own Google AI API Key. Google charges for Gemini API usage based on input/output tokens, billed directly by Google Cloud.

Note: You must have a Google Cloud project set up with billing enabled and the Gemini API activated. Generate an API key associated with that project.

How do I get a Google Gemini API Key?

1. Go to Google AI Studio or Google Cloud Console.
2. Set up a Google Cloud project with billing and enable the "Vertex AI API".
3. Navigate to "Credentials" under "APIs & Services" and create an API key.
4. Keep your API key secure and confidential.

Can I run Gemini on a large CSV or Excel file?

Yes. Datablist is designed for large datasets and handles them much better than standard spreadsheet software.

Can I retry only failed Gemini rows?

Yes. Datablist stores a status for each row. Filter rows with errors, adjust your prompt or data, and retry only those records.

Can Gemini return several fields at once?

Yes. Use structured outputs to define fields such as summary, category, sentiment, and score. Datablist maps each field to a column.

Why Use Google Gemini?

Gemini is Google's cutting-edge AI family, known for:

• Multimodality: Underlying ability to understand text, images, audio, and code.
• Advanced Reasoning & Performance: Sophisticated understanding, summarization, translation, and generation capabilities.
• Integration & Scalability: Backed by Google's infrastructure for reliable performance.

Which specific Gemini model is used?

Check the enrichment settings in Datablist for the available Gemini model options. Different models have different costs, speeds, and capabilities.

Powerful Use Cases for Gemini on Your Spreadsheets

• Personalized Outreach: Generate custom email intros or messages using data like {{First Name}}, {{Company}}.
• Content Generation: Create product descriptions, summarize articles ({{Article Text}}), draft social media posts.
• Data Cleaning & Structuring: Standardize addresses ({{Raw Address}}), extract info from notes ({{Notes}} -> {{Contact}}, {{Date}}), fix grammar.
• Translation at Scale: Translate text from one column to another ({{Description DE}} -> {{Description EN}}).
• Advanced Analysis: Analyze sentiment ({{Feedback}}), categorize comments, identify themes in survey responses.
• Information Extraction: Pull specific data points (prices, SKUs) from text blocks.