Introducing Make AI Content Extractor

Introducing Make AI Content Extractor - structured data from any file, right inside your workflow

Unstructured files slow everything down. Invoices, resumes, voice notes - getting usable data out of them often means bolting on external tools and hoping the format holds up.

Make AI Content Extractor does things differently.

It’s a native Make app that pulls clean, structured data from PDFs, images, and audio inside your scenario. No more noisy outputs, no glue-code workarounds - just the data you need, exactly where you need it.

What is Make AI Content Extractor?

Make AI Content Extractor is a native app that pulls structured data from unstructured files directly inside your Make scenario.

Whether you're working with PDFs, Word docs, screenshots, or voice notes, the Extractor module returns clean, consistent outputs ready to use without any manual cleanup.

You can extract fields from an invoice, parse text from a scanned document, tag objects in an image, or transcribe and translate audio - all with one module. Every output follows a defined structure, making it easy to feed into logic branches, databases, AI Tools, or downstream apps.

It’s built for the kind of automation that needs to move fast, without switching tools or wrangling messy formats.

Why it matters - fewer tools, more control

Most file-based workflows rely on patchwork. One service to extract the text, another to clean it up, and a few modules to make sense of the output.

Make AI Content Extractor replaces all that with a single, native step.

• No need to search for workarounds

• No converting PDFs to images just to extract text

• No unpredictable “wall of text” responses

• No manual field mapping or post-processing

You get clean, structured data right where needed, ready for Make AI Tools or logic branches.

What you can do with Make AI Content Extractor

Make AI Content Extractor helps you turn files into usable data - no cleanup required. Here are a few ways to put it to work:

• Extract line items, totals, and tax fields from scanned invoices

• Parse resumes into structured fields for HR workflows

• Transcribe WhatsApp voice messages and reply with AI

• Tag and describe image content for classification or sorting

• Convert meeting recordings into searchable summaries

• Analyze document attachments from emails or messaging apps

And because it’s part of Make, you can combine it with Make AI Tools, custom logic, or any app in your workflow - all in one place.

How it works

Getting started with Make AI Content Extractor takes just a few steps:

1. Add the Extractor module - Search for Make AI Content Extractor

   

2. Choose the extraction type - Document, image, or audio

3. Upload or map a file - PDFs, images, audio, or Word documents. You can upload a file, map it, or reference the URL.

   

4. Run the module - Get structured output instantly

   

5. Use the results - Feed the data into AI Tools, logic branches, or downstream apps

Watch our Product Manager, Hai Anh Leová, do a comprehensive module demo here:

For builders who automate with precision

When your workflows depend on reliable data, unpredictable outputs aren’t an option.

Make AI Content Extractor gives you consistent, structured results every time so that you can scale complex document, image, or voice-based automation without extra cleanup or brittle workarounds.

• Avoid unstable APIs and format shifts

• Reduce maintenance across document-heavy scenarios

• Eliminate manual parsing from your flows

• Feed high-quality data into AI Tools, OpenAI, Claude, or any downstream logic

Real-life use cases

Make AI Content Extractor isn’t just about cleaner data, but about building faster, smarter workflows. Here’s how teams are already putting it to work:

• People Ops teams parse resumes into structured candidate profiles, then run them through AI Tools for scoring, categorization, or next-step suggestions.

• Finance and RevOps teams extract invoice fields from PDFs and route them into CRMs, ERPs, or approval workflows - no manual entry or field mapping required.

• Customer support teams transcribe and classify voice messages from WhatsApp or Intercom, then automatically generate smart replies or tickets.

• Marketing and agency teams scan screenshots, design files, or slide decks for brand violations, content tags, or metadata enrichment.

• AI automation builders combine the Extractor with Make AI Tools to summarize scanned meeting notes, extract action items, or classify document content on the fly.

It works wherever your files live - and delivers precisely the data your workflows need.

Try Make AI Content Extractor today

Make AI Content Extractor is now in open beta on all paid plans, with Enterprise access coming soon.

It’s the simplest way to turn PDFs, images, and audio files into clean, structured data, ready for AI or automation. One module does the job, and there are no third-party tools or messy outputs.

• Explore the Help Docs

Try it with your next scenario today.