Your workflows, applied
to thousands of rows.
Process in bulk.

Combine your data and 40+ AI models: process, enrich, and deliver at scale.

Try it free

40+ AI providers supported

OpenAI

Anthropic

Google Gemini

Processing that scales.
Thousands of rows, minutes not months.

Hit Process. Batcher runs thousands of rows in parallel, not one by one, not sequentially. Auto-pause when API limits are hit, automatic retry on failed rows, resume later right where you left off. One failed row never stops the job.

Bulk parallel processing: thousands of rows at once
Real-time visibility: see every result fill your table as it completes
Resilient: auto-pause, retry, skip, resume. Built for real-world API conditions

13,000 products enriched. 80,000 AI requests. 20 hours instead of 2,800.

Describe your goal.
The assistant builds the workflow.

Tell the AI assistant what you need in plain language: "enrich these product descriptions for SEO" or "clean up this client database." It analyzes your data, proposes a structured workflow plan, and injects the right formulas into your table. Test on 3 rows first, validate, then scale to thousands.

From idea to workflow: describe what you need, the assistant builds it
Adapts to your level: beginner to expert, in any language
Iterate live: change the plan, swap models, undo anything, mid-conversation

20,000+ records processed for BIS Electric from a single workflow built via chat.

One table. Full orchestration.

Batcher is simple by default, powerful when you need it. Every workflow runs in one table, with full control over models, parameters, and sequence.

Column chaining: Each column references the previous one. Scrape → extract → analyze → generate, all in sequence. Batcher resolves dependencies automatically.
Per-column and per-cell control: Assign a different AI model to each column: GPT for descriptions, DeepSeek for metadata, Perplexity for web research, in the same workflow. Override per cell if needed. Set temperature, max tokens, system prompts at any level. Run the same prompt across 3 models, pick the best output, scale the winner across your entire dataset.
Your keys, your costs, full visibility: No markup on AI costs, you pay providers directly. Free built-in model included. Track token consumption in real time per workflow. Validate every result in the table before you export anything.
Local models for privacy: Connect Ollama or VLLM. Your data never leaves your infrastructure. Full processing power, zero exposure.
Undo everything: Every action has an automatic restore point. Test, validate, roll back. Nothing is irreversible.

80% cost reduction by mixing open-source models with premium ones on the same workflow.

Try it free

From file to results in minutes

Import your data

Upload your CSV or Excel file — product names, URLs, client records, any structured data. Drag, drop, done.

CSV, Excel, or paste from clipboard
Product names, URLs, client records — any structured data
Drag, drop, done

Let the AI assistant build your workflow

Tell the assistant what you want in plain language. It analyzes your data, proposes a workflow plan, and injects the right formulas into your table — automatically.

Describe your goal in plain language
The assistant proposes a workflow plan and injects formulas
Test on 3 rows first, then apply to everything

Or take full control with formulas

Write your own formulas. Batcher's =LLM() function calls 40+ AI models. Use CONCAT for dynamic prompts, chain columns into multi-step workflows.

=LLM() works like any standard function
CONCAT for dynamic prompts, chain columns for multi-step workflows
Set a different model per column or per cell

Process and export

Hit Process. Batcher runs thousands of rows in parallel and fills your table in minutes.

Thousands of rows processed in parallel
Review every result before exporting
Adjust what you need, export. Done

Try it free — import your first file

Use cases

Built for teams that process data at scale

For e-commerce teams

You have thousands of product pages with missing descriptions, copied supplier content, and empty metadata. Batcher enriches your entire catalog in hours — SEO-ready descriptions, unique content, structured HTML.

See e-commerce use cases

For SEO consultants & agencies

You manage 5, 10, 20 clients with catalogs of thousands of pages. Auditing, optimizing, and producing content manually doesn't scale. Batcher chains scraping, analysis, and content generation into one table.

See SEO use cases

For anyone processing data in bulk

Product catalogs are just the start. Batcher works with any CSV — B2B data validation, translation, classification, content generation, lead enrichment. If your task involves processing rows of data with AI, Batcher handles it at scale.

25,000 B2B client records validated and cleaned
140 local SEO pages generated in one session
Any structured data × any AI model × any workflow

Explore all use cases

Proof

Stories from teams using Batcher

13,000

products enriched

80,000

AI requests in one project

20h

instead of 2,800h

40+

AI models

After several rounds of iteration with Batcher, we built a workflow with reliable prompts that allowed us to bulk-clean our client database using AI. Applied across 25,000 clients, generating 50,000 AI requests — half of them handled by Batcher's free built-in model. I now have a fast, reliable tool.

BIS Electric

B2B client database, 25,000 clients, 50K AI requests

It saves an insane amount of time. We ran 80,000+ AI requests to improve our entire catalog of 13,000+ SKUs. When you apply the same thing thousands of times, there's just no comparison.

Milo, Animilo

E-commerce, 13,000+ SKUs, 80K+ AI requests

It's like ChatGPT, but applied to a table — with multi-step workflows built in.

D

Director

E-commerce agency — Magento specialist

It's a goldmine. No need to pay 15 bucks per click when you can find the gaps yourself.

I

Independent SEO consultant

Audits catalogs of 1,000 to 50,000 pages

How Batcher compares

	One-at-a-time AI tools	Custom dev / script	Batcher.ai
Time for 1,000 rows	~250 hours (manual)	~40 hours (build + run)	~15 min
Skills required	None — but no scale	Python, API management	None — AI assistant builds workflows
AI models available	Usually 1 provider	Whichever you code	40+ (switch per column or per cell)
Multi-step workflows	No	Yes (if you build it)	Yes (columns chain automatically)
Result visibility	One response at a time	Terminal / log files	Full table — every row visible
Maintenance	None (no scale)	Breaks when APIs change	Zero — we handle updates

Try it free — see for yourself

Free to start. Plans from €19/month.

Batcher doesn't charge you for AI — you bring your own API keys, so there's no markup on model costs. A free built-in model is included with every plan. And free open-source models can cover most of your tasks at zero extra cost.

See pricing Start free — no credit card

FAQ

Frequently asked questions

Do I need to know how to code?

No. You don't even need to write formulas. The AI assistant builds your workflow from a plain-language description — "enrich these product descriptions for SEO" or "clean up this database." You can test on 3 rows before applying to everything. If you want more control, the =LLM() formula works like any standard function, but it's completely optional.

Will Google penalize AI-generated content?

Google doesn't penalize AI content. It penalizes thin, duplicated, unhelpful content — which is exactly what copied-from-supplier descriptions already are. Batcher enriches each page with real data pulled from the web, customer reviews, and competitive analysis. The result is unique, in-depth content — the kind Google's Helpful Content Update rewards.

How much does it cost?

There's a free plan to test on your real data. Paid plans start at €19/month. You bring your own API keys for premium models — Batcher doesn't mark up AI costs. A free built-in model is included, and free open-source models can cover most tasks at zero additional cost. Cost tracking is visible in real time inside the app.

Is my data secure?

Your data is processed in isolated environments and is never used to train any AI model. Processing is encrypted, and data retention follows your plan settings. For maximum privacy, you can connect local models via Ollama — your data never leaves your infrastructure. You bring your own API keys, so Batcher never sees your API credentials at rest.

What if the AI makes things up?

Every result is visible in your table before you export anything. Batcher shows input and output side by side so you can review each row. You can test on 3 rows first, add verification steps to your workflow, and control model parameters — lower the temperature for factual tasks, use stricter prompts for critical data. Every operation has an automatic undo point.

How is this different from n8n, Make, or a custom script?

Those tools are great for trigger-based automation. But try feeding 1,000 URLs into n8n and getting a visual result for each one. Batcher is a table — you see every row, every result, in real time. No code to maintain, no workflow that breaks when an API changes. And you can switch between 40+ AI models without rewriting anything.

Can I use Batcher for things other than e-commerce?

Yes. E-commerce catalogs are our most proven use case, but Batcher works with any CSV. Clients use it for B2B data validation (20,000+ records cleaned for BIS Electric), local SEO page generation (140 city pages in one session), review summarization, translation, and more. If your task involves processing rows of data with AI, Batcher handles it.

Still have questions?

See full FAQ or book a 15-min call

Your data won't process itself.

Import your first file and get results in under 10 minutes. Free. No credit card.

Try Batcher free Book a 15-min demo

Your workflows, appliedto thousands of rows. Process in bulk.

Processing that scales.Thousands of rows, minutes not months.

Describe your goal.The assistant builds the workflow.