Practical guide
How to Apply AI to Every Row in a CSV
A practical, test-first workflow for enriching, classifying, summarizing, or transforming every row in a CSV with an AI model.
Read guideBatchForge helps operations, data, and content teams turn CSV or JSON files into repeatable AI workflows. Test representative rows, inspect the output and cost, then approve the full run.
Bring one repetitive spreadsheet workflow. Approved partners start with a real 10-row test.
Built to reduce batch-processing risk
Upload, define, test, then run only when the sample is good enough.
Upload your CSV or JSON file. We automatically parse columns and make them available as template variables.
Create prompt templates using {{variable}} placeholders. Preview rendered prompts before running the batch.
Run representative rows first so you can review quality and estimated cost before committing the full file.
Confirm the full run, follow progress, then export completed results as CSV or JSON.
Track every job with real-time progress updates, token counts, and cost tracking.
Real-time progress tracking for every job
Use immediate mode for fast feedback or eligible batch execution when cost matters more than turnaround.
Start processing promptly and follow row-level progress while the run is active.
Best for tests and time-sensitive work
Queue eligible provider work for lower-cost asynchronous processing when turnaround is flexible.
Up to 50% lower platform-funded model cost when eligible
See what changes when you stop doing data processing the hard way.
A complete toolkit for batch LLM processing, from data upload to result export.
Choose supported models from OpenAI, Anthropic, Google, Mistral, DeepSeek, or xAI per job.
Upload structured data in CSV or JSON format. Columns are parsed automatically as template variables.
Use {{variable}} placeholders in prompts. Preview rendered output before running your batch.
Watch your batch process row by row with live progress updates, token counts, and cost tracking.
Bring your own API keys for direct billing, or use BatchForge-managed processing.
Export completed batch results as CSV or JSON. Download with one click when processing finishes.
Practical transformations supported by the current product, without requiring web research or unreleased integrations.
Classify or enrich lead records using the context already present in your file.
Add normalized industry and company-size fields
Generate consistent draft copy from the product attributes already present in each row.
Draft product descriptions from structured specs
Apply one approved taxonomy across support tickets, products, or survey responses.
Apply a consistent taxonomy to support tickets
Turn text already present in spreadsheet rows into structured fields your systems can use.
Extract dates, names, and categories from row text
Apply a consistent sentiment rubric to reviews, surveys, or NPS responses already in your file.
Score and summarize customer-review themes
Standardize inconsistent names, labels, formats, and free-text values across a file.
Normalize messy categories into an approved schema
We prioritize design partners with a specific file, prompt, and repeatable business outcome.
A focused design-partner program
We are proving one workflow exceptionally well before opening broader automation and collaboration features.
HTTPS protects data in transit
BYOK credentials use AES-256-GCM
Delete source files and job data from the app
App, worker, queue, storage, and database checks
Batch AI guides
Practical answers for preparing data, testing prompts, reviewing cost, and recovering failed rows.
Practical guide
A practical, test-first workflow for enriching, classifying, summarizing, or transforming every row in a CSV with an AI model.
Read guideWorkflow design
Learn how batch LLM processing works and why sampling, structured outputs, cost review, and selective retries should happen before a full run.
Read guideData preparation
Choose between CSV and JSON for batch AI jobs by comparing structure, nested data, validation, editing, and export requirements.
Read guideStart small, then scale as you grow. All plans include access to every LLM provider.
Try it out with no commitment
For individuals getting started
For professionals and power users
For higher-volume individual workspaces
Everything you need to know about BatchForge.
Request design-partner access to test a representative sample, review the result and estimated cost, then decide whether to run the full file.