Best AI Email Parser Tools in 2026: 9 Email Parsers Compared

The best email parser depends on what you need at the end. For AI parsing of emails and PDFs at volume, pick Parseur or Airparser. For rule-based parsing of emails that always look the same, pick Mailparser. If you already live in Zapier, its free Email Parser is fine for simple notifications. And if you want emails and their PDF or image attachments parsed straight into Notion, Google Sheets, Airtable, Linear or Trello without a separate automation tool, that's what I built Quicktion for.

That's the short answer. The rest of this post is the comparison I wish I'd had: how each tool extracts data, whether it reads PDF attachments, where the data goes, and what you can try for free. I checked each vendor's own site. Where I couldn't confirm something there, I left it out.

The tools at a glance

Two questions sort this table out fast.

First: do you want the extracted values, or the email? Parseur, Airparser, Mailparser and the other parsers output fields. What lands in your sheet is "vendor: Acme, total: 1,240.00, due: 2026-12-01" and not much else. Quicktion saves the whole email (subject, sender, date, body with links intact, attachments) and adds the extracted fields on top. If anyone on your team will ever need to reread the email from inside Notion or Airtable, that matters more than any column in the table.

Second: how varied is the mail? One sender, one layout, thousands a month is a rules job. Twelve vendors with twelve invoice formats is where AI extraction pays off, and where rule-based tools cost you a Saturday every time someone redesigns their template.

What it looks like in Quicktion: invoice PDF to a Google Sheets row

Here's the concrete version, because "AI email parser" means very little until you see a row.

Say your hosting provider sends a monthly email. The subject is "Your invoice INV-20431", the body says "Your invoice is attached", and the numbers only exist in the attached PDF. Here's the setup:

1. Create a Google Sheets destination in Quicktion and pick the spreadsheet and tab. You get a forwarding address like abc123@in.quicktion.io.
2. In the column mapping, map Date, From, Subject and Attachments to their email fields. Add three columns, Amount, Invoice number and Due date, and set each one's role to AI extraction. The column header is what the AI is asked to fill.
3. In the AI Processing section, turn on Read attachments (PDFs, images). Optionally add a hint like "Amount is the total due including tax, as a number."
4. In Gmail, create a filter for emails from that vendor and forward them to your Quicktion address. Or open one invoice and save it with the Gmail add-on, which shows an AI preview before anything is written.

The next invoice becomes this row:

The PDF itself is uploaded to a Google Drive folder and linked from the row, so checking a number is one click. If the AI can't find a value, it leaves the cell blank. It doesn't guess. And if the AI call fails, the email still saves without the extracted fields.

The same setup works on the other destinations. In Notion and Airtable you pick the properties or fields to fill, in Trello it fills custom fields, and in Linear it sets priority, status, assignee, project and labels. The AI extraction help article lists what each one supports.

Limits, plainly: AI extraction is on Pro ($12/month or $120/year, 1,000 emails a month). It reads PDFs and images (PNG, JPG, WebP, GIF), not DOCX or XLSX, and skips files over 20 MB. It works on email as it arrives or when you click save. It won't backfill ten thousand old emails from a label, and it isn't built for 40-page documents or line-item tables.

Parseur

Parseur started as a template parser and has gone AI first. Their site pitches extraction "without manual rules or training", meaning AI that copes with layout changes on its own. You forward emails or documents to a Parseur mailbox, say which fields you want, and it reads them out of emails, PDFs and images.

Usage is counted in pages. An email is one page, and a PDF is one credit per page, so a six-page invoice costs six. The free plan is 20 pages a month, permanently, no card. Paid plans scale by page volume.

The data goes to Google Sheets, Excel, Zapier, Make, Power Automate and webhooks. Airtable and Notion go through Zapier: Parseur's own Airtable page describes the chain as Parseur extracts, Zapier adds the row.

Pick Parseur if you're parsing documents more than emails: multi-page invoices, purchase orders, statements, tables of line items. For that job it's the strongest AI parser here, and the free tier is a real way to test it. It's a poor fit when you want the email itself in Notion or Airtable, or when Zapier in the middle is one subscription too many. More on the Parseur alternative page.

Airparser

Airparser is the LLM-first newcomer. You define the fields you want and it pulls them out of emails, PDFs (scanned ones too, with OCR) and images. Its integrations page lists Google Sheets, Airtable and Excel as direct apps, plus Zapier, Make, n8n, webhooks and an API. Notion goes through Zapier, Make or n8n.

It's close to Parseur in spirit: the output is fields, not the email. There's a trial plan with 20 credits a month, where one credit is an email, an image or a PDF page. I haven't run it in production, so I'll leave pricing to their site.

Mailparser

Mailparser has been around since 2013 and it's the reference rule-based parser. You forward email to an inbox it creates, then build parsing rules: pick a region of the email, say what comes before and after the value, add filters to clean it up. Their site says it extracts data "based on your own custom parsing rules." Rules can pull whole tables, including invoice line items, and Mailparser reads PDF, DOC, DOCX, XLS, XLSX, CSV, TXT and XML attachments.

Data goes to Google Sheets, Airtable, Excel, MySQL, PostgreSQL, SQL Server, Salesforce, HubSpot, Pipedrive and many other CRMs, plus Zapier and webhooks. Notion, Linear and Trello aren't native; you'd go through Zapier.

Pricing is per email. Starter is $29.95/month for 250 emails, and there's a 30-day free trial with 30 credits but no permanent free plan.

Pick Mailparser when the mail is structured and the volume is real: order confirmations, shipping notices, invoices from a stable set of vendors. Rules are deterministic, which auditors like. The cost is upkeep, because every new layout needs a new rule and a redesigned template breaks the old one without telling you. Head-to-head on the Mailparser alternative page.

Parsio

Parsio lets you pick the parsing method per mailbox: a template parser for fixed layouts, a GPT-powered parser (the default), pre-trained AI models for common document types like invoices and receipts, or plain OCR that turns scans into text. It handles emails and PDFs, and exports to Google Sheets, Excel, CSV or JSON, Zapier, Make, n8n, webhooks and an API. The free Sandbox plan has 30 credits a month.

It's a good pick if your mail is a mix: some senders with one fixed layout, where a template is cheap and exact, and some messy ones that need AI.

Docparser and Lido

These two are document parsers first. Email is one way in, not the main event.

Docparser is rule-based. It uses zonal OCR, pattern matching and anchor keywords to pull data from PDFs, Word files and images, which you can upload, send as email attachments, or pull from Dropbox, Google Drive or OneDrive. Output goes to Excel, CSV, JSON, Google Sheets, Zapier and Power Automate. There's a 14-day trial.

Lido does AI extraction from PDFs, invoices and receipts, with email auto-forwarding on its paid plan and export to Excel and CSV. You get 50 free pages to start.

Both make sense when the job is documents that happen to arrive by email. Neither keeps the email itself.

Zapier's Email Parser

Email Parser by Zapier is a feature of Zapier, not a separate product. You create a mailbox with an @robot.zapier.com address, forward a sample email, highlight the bits you want and name them. Every later email that matches the template produces parsed fields you can use as a Zap trigger.

The limits are in Zapier's own docs: 15 templates per mailbox, US Central time for timestamps, a mailbox address you can't change, and multiple attachments arrive as a zip. It works on the email text, not on attachments. And it isn't AI. The template is anchored on the text around each value, so a layout change grabs the wrong value or nothing.

Use it if you already build Zaps and parsing is one step in a bigger flow: parse the email, add a Sheets row, ping Slack, update the CRM. The parser is free, but each run of the Zap is a task. More in the Zapier email to Google Sheets post and on the Email Parser by Zapier alternative page.

Make's text parser

Make doesn't sell an email parser. It has an email trigger and a Text parser module whose "Match pattern" action runs a regular expression over the body. If you can write regex, you can pull out anything. If you can't, you'll end up asking a chatbot to write it for you, and the Make community forum is full of people doing exactly that.

It's cheap and flexible, but it isn't AI and it isn't friendly. Same box as Zapier's parser: fine if you already build scenarios in Make, not worth signing up for just to parse email.

Quicktion

I built Quicktion, so read this section with that in mind.

Quicktion isn't a parsing platform. It saves emails into the tool you work in: Notion, Google Sheets, Airtable, Linear, Trello or Google Drive. Every saved email lands with subject, sender, date, the body as clean text with links intact, and the attachments. You can forward automatically from any email client with a rule pointed at your xyz@in.quicktion.io address, or save one email at a time from the Gmail add-on.

The parsing part is AI Email Intelligence, a Pro feature. Per destination you pick the properties or columns to fill and, if you want, write a short hint about how to find each value. The AI reads the email body and, with Read attachments on, any PDF or image attachment. There are no templates and no regex, and you don't write a rule per sender. When a vendor changes their invoice layout, nothing breaks, because the model reads what the values mean, not where they sit. The same feature can also rewrite the body before it's saved: summarize it, translate it, or strip signatures. It runs on Google Cloud's Vertex AI (Gemini), and Google doesn't retain or train on the content.

Google Drive is the exception: it saves the email as a PDF with its attachments, so there are no fields for the AI to fill.

The free plan is 25 emails a month into one destination with the standard fields, permanently. Pro is $12/month for 1,000 emails and unlimited destinations.

Pick Quicktion if what you want is "emails in my database, readable, with attachments, and a few fields extracted," with no Zapier in between. If you send it a 40-page PDF full of line items, I'll tell you to use Parseur or Mailparser.

Which one should you pick

High volume of structured emails or PDFs, the output is data, and someone will maintain it: Mailparser if you want deterministic rules and DOCX/XLSX support, Parseur or Airparser if you'd rather have AI handle layout changes. Parsio if you want both options under one roof. Docparser or Lido if the email is mostly a wrapper around documents.

Already paying for Zapier or Make, and parsing is one step in a longer workflow: use the parser you already have. Don't add a subscription for a job your current one can do.

You want the emails themselves in Notion, Sheets, Airtable, Linear or Trello, with attachments and a handful of AI-extracted fields, plus a button in Gmail: Quicktion. It's the only tool here that writes to all of those directly, and the only one with a Gmail add-on.

"AI email parser" is really two markets with one name. One is document parsing at volume. The other is filing email where you work, with some intelligence on the way in. Once you know which one you're shopping in, the choice is easy.

Frequently asked questions

What is the best email parser?

It depends on the job. For AI parsing of emails and PDFs at volume, Parseur or Airparser. For rule-based parsing of emails with a fixed layout, Mailparser. If you already build Zaps, Zapier's Email Parser. If you want emails and their PDF or image attachments parsed straight into Notion, Google Sheets, Airtable, Linear or Trello without a separate automation tool, Quicktion.

What is an AI email parser?

A tool that reads incoming emails (and often their attachments) and turns them into structured fields like amount, order number, sender company or due date, without you writing rules or regex for each layout. Older parsers use parsing rules or highlighted templates. AI parsers use a language model that reads meaning, so a changed layout usually doesn't break extraction.

Which tool extracts data from PDF invoices in email attachments into Google Sheets?

Parseur, Airparser, Parsio and Mailparser all read PDF attachments and export to Google Sheets. Quicktion does it too on the Pro plan: you mark columns like Amount or Due date as AI extraction, turn on Read attachments, and each forwarded invoice becomes a row with those values filled in and the PDF saved to Google Drive and linked from the row.

Mailparser vs Parseur: which is better?

Mailparser is rule-based. You build parsing rules per email layout, which is precise and repeatable but breaks when a sender redesigns their template. It also reads DOCX and XLSX attachments. Parseur is AI-based with no templates, so it copes better with varied layouts, and it counts usage per page, which matters for long PDFs. Pick Mailparser for one stable layout at high volume, Parseur for many layouts.

How do I build templates in an email parser to pull out names, dates and links?

In a template parser like Zapier's Email Parser you send a sample email and highlight each value you want. In Mailparser you write parsing rules that point at the text around each value. In AI parsers like Parseur, Airparser or Quicktion there is no template: you list the fields you want (name, date, link) in plain language and the model finds them, even when the layout changes.

Is there a free email parser?

Parseur has a permanent free plan of 20 pages a month, and Parsio has a free Sandbox plan with 30 credits a month. Zapier's Email Parser is free, but moving the parsed data anywhere costs Zapier tasks. Quicktion's free plan saves 25 emails a month to one destination with the standard fields; AI extraction is on the $12/month Pro plan.

Which email parser works with Notion and Airtable?

Quicktion writes directly to Notion, Airtable, Google Sheets, Linear, Trello and Google Drive. Mailparser and Airparser connect to Airtable, and reach Notion through Zapier or a similar tool. Parseur and Parsio reach both through Zapier, Make or webhooks.

Do I need a parser, or just a way to save emails?

Ask what you want to end up with. If you want a spreadsheet of extracted numbers from thousands of identical emails or long PDFs, you want a parser. If you want the email itself, with sender, date, body and attachments, in your Notion database, Google Sheet or Airtable base, with a few extracted fields on top, an email-to-database tool like Quicktion fits better.

Get started

If you're in the second market, sign up for Quicktion and connect a destination. The free plan shows you whether the standard save (subject, sender, date, body, attachments) is enough. If you need extracted fields, Pro turns on AI Email Intelligence for $12/month.

Related guides

• How to parse emails into Google Sheets: 4 methods compared, the setup detail for the spreadsheet case
• How to extract data from emails with AI, why prompts beat regex on varied email
• Mailparser alternative and Parseur alternative, the head-to-head pages
• Track email receipts and invoices in Google Sheets, the invoice setup end to end
• AI property extraction by destination, what each destination can fill