What kind of input can I use?

Paste specs, bullet points, or raw descriptions to extract fields. You can review the fields and adjust them before exporting.

Which schemas are supported?

Use common presets for Shopify or customize for your PIM. You can review the fields and adjust them before exporting.

Does it normalize units and values?

Yes. It standardizes formats to keep data consistent. You can review the fields and adjust them before exporting.

Can it flag missing or invalid fields?

Validation rules help catch gaps before you publish. You can review the fields and adjust them before exporting.

Is CSV export available?

Yes. Export clean metafields ready to import. You can review the fields and adjust them before exporting.

How do I use the output?

Import the structured fields into Shopify, a PIM, or your feed. You can review the fields and adjust them before exporting.

Ecommerce tools

Product Metafields Extractor

Turn raw product data into structured metafields.

Extract clean metafields

Paste a raw description or specs to get structured fields.

Extract metafields

Common catalog issues we solve

Missing structured data for filters and search
Manual attribute mapping that takes hours
Inconsistent formatting across product feeds

ButterflAI detects attributes, normalizes values, and outputs clean metafields ready for Shopify or any PIM.

E-commerce brands that already trust us

Key features built for commerce teams

Everything you need to standardize, scale, and ship quality outputs.

Schema presets

Use common field templates for Shopify, PIMs, and ERPs to start fast.

Auto-normalization

Standardize units, formats, and naming conventions across suppliers.

Validation rules

Catch missing or invalid values before publishing to protect feeds.

CSV export

Export clean metafields ready to import into your store or PIM.

Benefits for metafields

Extract structured attributes so filters, search, and rules work.

Normalize specs for clean filters and search.
Reduce manual attribute mapping work.
Ship accurate data to Shopify and PIMs.

Cleaner feeds and fewer fixes compound with every SKU. The catalog stays consistent without extra manual work. That consistency unlocks faster scaling across channels.

Use cases

Best for Shopify metafields, PIM enrichment, or feed cleanup.

Prepare Shopify metafields at scale.
Clean supplier feeds before import.
Power onsite filters and faceted search.

Ideal when you need consistency across large catalogs. Useful for marketplaces, feeds, and internal exports. Keeps teams aligned even as the catalog grows.

Why ButterflAI solves it better

Power filters and search

Unlock better navigation with structured attributes.

Reduce catalog errors

Standardized fields keep data clean and consistent.

Faster integrations

Ship data to Shopify, PIMs, and feeds quickly.

Improve SEO

Richer metadata drives better visibility.

FAQs

Quick answers to common questions.

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