AI field extraction
Define a schema and pull named fields from varied documents.
Extract structured data from emails, PDFs, images, and documents using AI-powered parsing.
Airparser is an AI-powered parser that extracts structured data from emails, PDFs, scanned documents, images, Word files, and spreadsheets. Users define a schema of fields, forward or upload documents, and receive clean data that can be reviewed and sent onward. It includes OCR for scans and handwriting, Python post-processing with an AI code assistant, and human review. Operations teams, small businesses, analysts, and automation builders use Airparser to replace manual data entry.
Allen M.
Owner/realtor
“Liked the simple data capture fields and webhooks that replaced the need for Make and Zapier. Found it a fairly basic tool and needed a moment to figure out how to edit a workflow.”
Devon P.
Marketing Manager
“Liked that it handled scanned PDFs better than four other tools tried and exported to Excel and Google Sheets. Found no way to organize data with folders or tags before export.”
Martin L.
PM
“Liked the good value, responsive support, easy schema creator, and strong web scraping. Found it costly for high-volume simple scrapes, saw it fill gaps with nearby wrong text, and wanted folder organization.”
Haitham A.
Co-Founder
“Liked that it handles many formats, including handwritten notes. Found accuracy depends heavily on input quality and raised concerns about privacy and the high cost of the service.”
Amber L.
Executive Assistant
“Liked how easy it is to use after replacing a confusing Zapier mail parser. Found the product has little marketing presence and only discovered it through a Reddit thread.”
Sean M.
Cinematographer
“Liked splitting names into separate fields from old mailing lists and found it more capable than Parsio. Found it struggles to detect missing data, such as an absent ZIP code.”
Mustafa M.
Sales & Marketing Executive
“Liked using it to compare bills across months and considered it good value. Found that attachment order is not preserved when many files are sent together.”
Verified Reviewer
CEO
“Liked the easy guided setup, responsive support, and good web scraping for gathering leads. Found that the large number of filters can overwhelm beginners at first.”
Tracey H.
Data Analyst
“Liked extracting text from PDFs and how well forwarding PDFs into the tool works. Found the free trial too limited, allowing only one or two PDFs to test.”
Nick K.
Family Owner
“Liked the quick webhook setup to Shopify through Pipedream and that re-parsing does not use extra credits. Found it costly when used for simple scraping tasks.”
Wes J.
IT Manager
“Liked the intuitive interface and its strength for email-based automation workflows. Found nothing major yet, though had not tested it with complex emails at the time of review.”
Leo H.
Automation Lead
“Liked the easy setup, reliable results with clear field descriptions, and the Make module. Found that a skilled user with an LLM API could build something similar more cheaply.”
James O.
“Liked the fast setup and strong extraction results. Found one unexpected result during use, though support stepped in and helped resolve it quickly.”
tariq Q.
CPA
“Liked that it makes data cleanup and migration projects feasible. Found extraction occasionally inconsistent, so results still need some validation before use.”
rafael R.
Analyst
“Liked how reliable it is and how quickly it can be configured for parsing tasks. Noted no major drawbacks in a review originally written in Spanish.”
Ariel P.
Chip Design Engineer
“Liked how easy it is to use, the good results, and the hours it saves. Found the upload size limit on the trial too small for testing.”
Ion B.
Creative Director
“Liked the intuitive, fast interface, batch processing, and integrations. Found pricing steep for solo users, free pages limited, and documentation for advanced rules unclear.”
Malachi C.
CEO
“Liked how simple the tool is and how much it helps with automation of routine data tasks. Noted no major drawbacks during use.”
Charlene F.
Director
“Liked extracting data from nonprofit receipts to support reporting metrics. Found that line items still have to be identified manually, which adds extra work.”
Verified Reviewer
Surveyor
“Liked how fast, simple, and capable it is when working with PDFs. Found it struggles with large, nonstandard PDF files that do not follow typical layouts.”
Email and document parsing
Template, AI, and OCR parsers in one
Rule-based PDF extraction
Zonal parsing rules for consistent layouts
Intelligent document processing
AI workflows for invoices and forms
Email data extraction
Rule-based parsing for incoming emails