What can I pull out of a document?

The parts you would otherwise hunt for by eye. The AI Text Extractor lifts the readable content, the AI Keyword Extractor gathers the terms that carry weight, and the AI Table Extractor rescues a table trapped in a wall of prose.

How does the keyword extractor pick its terms?

The AI Keyword Extractor weighs how often a term appears against how central it is to the meaning, so filler words fall away and topic words rise. That makes the list useful for tags, headings and search work.

What counts as an entity?

Names of people, companies, places, products, dates and amounts. The AI Entity Extractor picks those out and groups them by type, which saves a slow read when you only need to know who and what a long document mentions.

Can I get structured data out of plain prose?

That is the job of the AI Data Extractor and the AI Information Extractor. Point them at a block of writing and they return the fields in an orderly form you can paste into a sheet instead of retyping by hand.

Do I need to sign up?

No account or sign up is needed. Each extractor runs as a guest tool in the browser and is free with no cost and no trial. Signing in stays optional and only saves your history when you want it kept.

What do I do with the result?

Results export in TXT, DOC and HTML with one click, so a keyword list can go into a brief and an extracted table can go into a sheet. The tools are AI powered and return results in seconds.

AI Data Extractor - Free Structured Data Tool

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Where does the data go when it arrives as a paragraph? An invoice pasted into an email, a shipping confirmation, a page of meeting notes with four dates buried in it. The information is all there. It is just not in a shape anything can use.

Getting it into rows and fields is clerical work, and clerical work is exactly what people do badly at four in the afternoon. AI Data Extractor exists to take that pass off your hands.

Short answer: AI Data Extractor reads unstructured text and pulls the values out of it into a structure you choose. Paste an email, a receipt, a form response or a block of notes, pick an output style, and get back clean text, a table or an annotated list. Free, browser based, no account needed.

What is AI Data Extractor?

Think of it as the opposite of a form. A form makes people type into boxes so a system can read them. AI Data Extractor lets people write however they like and does the box filling afterwards.

The page is plain on purpose. A paste area labelled Paste the text for the data extractor, an engine list, an Advanced Options accordion holding ten controls, and a generate button. There is no file upload and no schema builder, which keeps the tool usable for one document and not just for a pipeline.

The output is whatever structure you asked for. Most people reach for Table. Some want Clean Text so it drops straight into a spreadsheet cell. A few want Annotated, which keeps a note beside each value saying where in the source it came from.

Why Use AI Data Extractor?

Because retyping is where mistakes come from. Reading a figure off one screen and typing it into another is a step with no value and a real error rate. Removing the retype removes the errors that come with it.

There is also the matter of consistency across a stack of documents. Ten suppliers write their invoices ten ways, and a person handling them applies ten slightly different readings. Run all ten through AI Data Extractor with the same settings and the output arrives in one shape, which is what the receiving system actually wants.

Info Extraction quality tracks how clearly the values are labelled in the source. A line reading "Total: 480.00" extracts cleanly. A line reading "so that comes to 480 all in" needs Custom Instructions to say what "all in" means.

Who Should Use It?

Bookkeepers turning a folder of emailed receipts into a ledger. Recruiters lifting names, roles and dates out of a pasted CV. Operations staff pulling order numbers out of a support thread. Analysts who have been sent a report as prose and need it as rows.

It is equally useful in one off situations. If you have a single page of notes with six action items and four deadlines inside it, extracting them by hand takes ten minutes and extracting them here takes one.

How Does AI Data Extractor Work?

Input

Everything starts in the paste area. Long text is fine. Mixed content is fine too, so an email with a signature block and a quoted reply underneath still works.

Engine choice

Under the box sits the model selector, organised into provider groups. Trying a second engine on the same paste is the fastest way to check whether an unusual value was read correctly, and it costs nothing but a click.

Settings

The accordion holds ten controls covering what job to do, how strict to be, and how the answer should look. They are listed in full further down this page.

Result and reuse

Generate produces a result card with a live word count. The card has per result actions: copy, listen through text to speech, reuse the same input, download, and open the result on its own. Under it, an export row gives DOC, TXT and HTML, and an activity history panel further down the page keeps earlier runs available for comparison.

Step-by-Step Guide

Paste one document at a time. Two invoices in one run produce a muddled table.
Choose an engine from the selector.
Open Advanced Options and set Operation Focus to Extract.
Set Output Style to Table if the values are going into a sheet, or Structured if they are going into another tool.
Leave Preserve Meaning on so numbers are not rounded or reworded.
Add any field names you require to Custom Instructions.
Generate, then read the values against the source once.
Export or copy, and move to the next document.

Important Check the first three documents of any new batch by eye. If the pattern holds for three, it will usually hold for thirty.

Key Features

Structure on demand

Six output styles from plain text through to annotated, all from the same input.

No schema to define

You are not asked to describe your fields in advance. Say what you want in one sentence instead.

Meaning preserved

A toggle that keeps values as written, which matters when the value is money or a date.

Three export formats

DOC, TXT and HTML sit in a row under every result.

Recent runs kept

The history panel means a run from five minutes ago is still on the page when you want to compare.

Best Use Cases

Turning emailed order confirmations into a delivery tracking sheet
Pulling contact details out of a signature block
Reading dates and amounts out of a scanned document that was already converted to text
Extracting requirements from a client brief written as paragraphs
Lifting the numbers out of a status update so they can be charted elsewhere

Advanced Options Guide

Setting	What it does
Operation Focus	Picks the job: Clean Up, Format, Normalize, Extract, Improve, Restructure, Standardize or Analyze.
Output Style	Clean Text, Formatted, Structured, Bullet Points, Table or Annotated.
Strictness	Light, Standard, Strict or Aggressive. Controls how much interpretation is allowed.
Reading Level	Simple, General, Professional or Academic, for any wording around the values.
Preserve Meaning	Toggle. Keeps values exactly as the source stated them.
Keep Formatting	Toggle. Retains the layout of the pasted text.
Fix Grammar	Toggle. Cleans the language of the surrounding output.
Show Changes	Toggle. Marks anything that was altered rather than lifted verbatim.
Intensity	Slider, 1 to 100. How far the chosen operation is pushed.
Custom Instructions	Up to 1000 characters. Name your fields here and the output follows them.

For extraction work specifically, Strictness on Strict with Preserve Meaning on is the safe default. It stops the engine from tidying a value into something that looks better and reads differently.

Example Outputs

An emailed order confirmation goes in as prose. With Operation Focus on Extract and Output Style on Table, it comes back like this:

Field	Value	Source
Order reference	PO-44821	Subject line
Order date	14 March	First paragraph
Total	480.00	Summary line
Delivery window	3 to 5 working days	Closing paragraph

The Source column only appears because Show Changes was on. Turn it off and you get two columns, which is what you want when the table is going straight into a sheet.

Tips & Common Mistakes

✅ One document per run
✅ Field names written into Custom Instructions before the first attempt
✅ Preserve Meaning left on for anything financial or legal
✅ Output Style chosen for where the data is going, not for how it looks on screen
✅ First few results checked against the source by eye

The mistake that costs the most time is pasting five documents together and then trying to work out which row came from which. The second is leaving Fix Grammar on for extraction, which occasionally rewrites a product name into something more grammatical and less correct.

Comparison Table

Method	Setup cost	Handles messy input	Best for
Retyping by hand	None	Yes	One or two documents
A parsing script	High	Poorly	Thousands of identical documents
AI Data Extractor	None	Yes	The messy middle, tens of varied documents

Where it helps

No pattern rules to write or maintain
Copes with documents that are all slightly different
Output shape changes without touching the input
Works for a single document, not just a batch

Where it does not

Not a replacement for a proper pipeline at large volume
Ambiguous phrasing still needs a human ruling
It reads text, so images need converting first
Results should be spot checked, not trusted blind

Pro tip Write your field list once in Custom Instructions and keep it in a note. Pasting the same instruction into every run is what makes forty documents come back in one consistent shape.

AIToolsay is the home of AI Data Extractor and of a large set of focused AI tools that each finish one job rather than asking you to prompt your way there. Everything is free to use with no account required, so there is no barrier between finding a tool and testing it on real work. The same engine picker appears on every page, so switching models to double check an unusual result is always available. Once your values are in rows, the AI Data Analysis Assistant is the natural next stop, and anyone building fixtures for a system rather than reading real documents will want the AI Test Data Generator instead. The rest of the collection is at AIToolsay.

Frequently Asked Questions

Is AI Data Extractor free?

Yes, completely, and you do not need an account to use it.

Can I upload a PDF?

Not directly. The tool works on pasted text, so convert the document to text first and paste that in.

How do I control which fields it returns?

List them in Custom Instructions. Naming the fields you want is more reliable than hoping the default choice matches.

Will it change my numbers?

Not with Preserve Meaning on. Leave that toggle enabled whenever the values matter.

Can it process many documents at once?

It works best one document per run. Pasting several together tends to blur which value belongs to which record.

What formats can I export?

DOC, TXT and HTML, from the export row under the result card. Copy is there too if the destination is a spreadsheet.

Is the output ready to import somewhere?

Table and Structured styles usually paste in cleanly. Give the first import a check before automating anything on top of it.

Most data problems are not analysis problems. They are shape problems, and the shape problem is boring enough that it gets postponed. AI Data Extractor takes the boring pass and gives you back something you can actually work with.

Thank you for reading. If this saves you an afternoon, come and share what you used it for in the AIToolsay community, follow AIToolsay on social media, enable push notifications so new tools reach you when they launch, and subscribe to the newsletter for a periodic summary.

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