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Airparser

· #294 most-used

Extract structured data from any document, automatically

ProductivityDocumentsDeveloperAIFormsAutomation

Airparser is an LLM-powered document parsing platform that extracts structured JSON data from emails, PDFs, invoices, resumes, contracts, and scanned images — without templates or coding. Define what fields to extract, connect via REST API or webhook, and Airparser delivers clean, consistent output every time. Connect it to Actionist and your agents can upload documents for parsing, retrieve extracted data, manage parser inboxes, and route structured results to any downstream app — CRM, spreadsheet, finance system, or custom workflow — automatically.

Average time saved
10 hours
per person · per month
≈ 1 workdays back

Eliminates manual work. Agents eliminate manual copy-paste from PDFs and emails into CRMs, spreadsheets, and finance tools by routing parsed structured data directly to downstream systems.

Schedule

What your Airparser agent runs on autopilot

A week of scheduled jobs your Actionist agent will execute on your behalf.

28Scheduled jobs
7Agents at work
24/7Always on
Agents
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Multi-app workflows

Airparser × every other app you use

End-to-end automations that span multiple apps — each one a real business outcome.

6Workflows
6Apps spanned
~22 hrsSaved / week
6Personas served
For finance
Featured4 apps

Supplier invoice to AP system, zero manual entry

When an invoice arrives in Gmail, the agent parses the attached PDF with Airparser, extracts all billing fields, logs them to the AP tracking sheet, and creates a payment task in Notion — all before the finance team sees the email. Manual invoice keying is eliminated entirely.

~5 hrs

Time saved for your team — every week, on autopilot

The flow
Trigger·When a supplier invoice email with a PDF attachment arrives in the shared AP inbox
Result
Upload invoice PDF to the invoices inbox for synchronous parsingWrite extracted invoice data to the AP tracking sheetCreate a payment task with due date and amount assigned to the AP manager
The win
Saved per run
8 min
Runs / week
~40×
Zero manual data entry for AP team on every supplier invoice
Driven byFinance Agent
ROI

Savings

What your team gets back — two angles: what you stop doing manually, and what that's worth.

Without Actionist

What you do manually today

With Actionist

What your agent runs for you

  • Sales
    35 min / week
    Manual order form data entry

    Reps receive order confirmation PDFs by email, open each one, and manually key the order number, product codes, and amounts into the CRM — 5-10 minutes per order, multiplied by every order every day.

    Sales Agent
    0 min
    Agent parses and routes every order on arrival

    When an order confirmation lands in the inbox, the agent uploads it to Airparser, extracts the structured fields, and writes them to the CRM deal record automatically — before the rep sees the email.

  • Marketing
    25 min / week
    Manual lead form transcription

    Lead form submissions arrive as email notifications or PDF exports. The marketing team manually reads each one and re-types contact details, budget, and use case into the CRM — 3-5 minutes per lead.

    Marketing Agent
    0 min
    Agent extracts and writes every lead on submission

    Airparser extracts name, company, email, budget, and use case from each submission. The agent writes the structured lead to the CRM instantly, so the team sees clean records without touching the raw emails.

  • Customer Support
    30 min / week
    Manual warranty claim data entry

    Support agents open each warranty claim PDF, read the claim details, and manually enter the serial number, defect description, and customer contact into the ticketing system — every claim, every day.

    Customer Support Agent
    0 min
    Agent parses and routes every claim on receipt

    Each warranty claim PDF is parsed by Airparser the moment it arrives. The agent writes extracted claim fields to the ticketing system and assigns it to the right agent — without the support team opening the attachment.

  • Human Resources
    60 min / week
    Manual CV screening and data entry

    Recruiters open each CV PDF, read through the document, and manually enter the candidate's name, contact details, skills, and experience into the ATS — 10-15 minutes per CV for a typical volume.

    Human Resources Agent
    0 min
    Agent parses CVs and creates ATS records automatically

    Every CV received is parsed by Airparser and the extracted candidate fields are written to the ATS automatically. Recruiters start with a searchable, structured pipeline rather than a PDF folder.

  • Finance
    50 min / week
    Manual invoice keying to AP system

    AP team members open each supplier invoice PDF, transcribe the supplier name, invoice number, total, and line items into the accounting system — a slow, error-prone process for every invoice received.

    Finance Agent
    0 min
    Agent parses every invoice and posts to AP system

    Supplier invoices are parsed by Airparser on arrival. The agent extracts all fields and writes them to the accounting system — the AP queue is processed before the team opens their inbox.

  • Operations
    30 min / week
    Manual extraction pipeline monitoring

    Operations staff periodically log into Airparser, check each inbox for failed documents, identify root causes manually, and re-upload or escalate — an ad-hoc process that often misses failures for days.

    Operations Agent
    0 min
    Agent monitors, recovers, and reports extraction health daily

    The operations agent sweeps all inboxes for failures daily, attempts re-extraction, logs persistent issues, and posts a health summary to Slack — extraction failures are resolved the same day they occur.

  • Legal
    45 min / week
    Manual contract clause extraction

    Lawyers read each contract PDF, manually extract the key clauses — parties, governing law, expiry date, contract value — and enter them into the contract registry, taking 15-30 minutes per contract.

    Legal Agent
    0 min
    Agent parses contracts and indexes key clauses automatically

    Every signed contract is parsed by Airparser and key clauses are extracted and written to the contract registry immediately. The legal team has a searchable database built from every contract without manual review.

+ 100s of other Airparser automations
Average time saved
28 hrs / person / month
Calculator

Calculate what your team saves

Team size
5 people
Hourly rate
$75 / hr
Hours saved / week
13
Hours saved / year
625
Annual ROI
$46,875

Based on Airparser's typical team usage — the visible tasks plus a few other automations the agent runs: ~2.5 hrs / person / week of admin work automated.

Connect

How to plug Airparser into Actionist

Pick the connection method that suits your environment.

Connect Actionist to Airparser using your API key. Generate one from Settings → API in your Airparser account and paste it here — the agent gains full access to your inboxes, document uploads, and parsed results.

1
Open Airparser Settings

Log in to Airparser, navigate to Settings → API. Your API key is shown there — copy it.

2
Paste into Actionist

In the Apps tab, find Airparser, click Connect, and paste the key into the API Key field.

3
Test the connection

Actionist runs a read-only call to list your inboxes to confirm the key is valid. You're ready.

Credentials you'll need
API Key*
Airparser → Settings → API → Copy your API key
Actions

14 actions your agent can call

Read and write operations available to your Actionist agent.

Triggers

0 events your agent can react to

Events your agent watches for, and the actions it kicks off in response.

This app has no triggers yet.
FAQs

Questions about Airparser + Actionist

How does Actionist connect to Airparser?
Go to the Apps tab, find Airparser, and click Connect. Enter your API key — you can generate one from Settings → API in your Airparser account. Actionist runs a read-only call to list your inboxes to verify the connection before any documents are processed. The API key inherits the permissions of your Airparser account, so make sure it's generated from the account that owns the inboxes you want the agent to access.
What types of documents can Airparser extract data from?
Airparser handles PDF, EML (email), HTML, TXT, DOCX, XLSX, CSV, and image files (scanned documents, photos of receipts or handwritten forms). The platform supports three extraction engines: a text LLM for structured digital documents, a vision LLM for complex multi-column layouts and scanned PDFs, and an AI OCR mode for handwritten or low-quality scans. Each inbox can be configured with the engine best suited to its document type. Files up to 20 MB are supported, and Airparser handles documents in over 60 languages.
What is an Airparser inbox and how do I set one up?
An inbox is an isolated parsing configuration in Airparser — it has its own extraction schema (the list of fields you want pulled out of documents), its own LLM engine selection, and its own email forwarding address. You typically create one inbox per document type: an invoices inbox, a contracts inbox, a CVs inbox. In Actionist, the agent can create inboxes via the Create Inbox action and define the schema using Create or Update Extraction Schema. You can also set inboxes up manually in the Airparser dashboard and simply point the agent at the inbox IDs for upload actions.
What's the difference between synchronous and asynchronous document upload?
Synchronous upload (Upload and Parse Document Sync) sends the document and waits up to 60 seconds for the extraction to complete, returning the structured JSON in the same response. This is ideal for interactive workflows where you need the result immediately — e.g. routing data to a CRM while the user waits. Asynchronous upload (Upload Document Async) sends the document and returns immediately; extraction happens in the background and you retrieve the result later using Get Document or receive it via a webhook. Async is better for batch processing and large files where a 60-second wait isn't practical.
Can Actionist route extracted data to other apps automatically?
Yes — routing the extracted structured JSON to downstream apps is exactly what Actionist agents do after parsing. Once Airparser returns the extracted fields, the agent can write them to a CRM deal, create an accounting bill, add a row to a spreadsheet, update an ATS record, post a Slack message, or trigger any other action in any connected app. The extraction and the routing happen in the same agent task — you configure it once and every matching document is handled end to end without human intervention.
What happens if a document fails to parse?
Airparser marks the document with a 'failed' status in the inbox. The Actionist agent can list documents filtered by failed status, fetch the extended parse result to see the raw input and error detail, and attempt a re-upload. Common causes of failure include corrupted PDFs, password-protected files, very low-quality scans, and documents with no extractable text. The Get Document (Extended) action returns enough detail to distinguish between a file quality issue (escalate to the sender) and a schema mismatch (update the schema). Persistent failures are best logged to a review sheet for human investigation.
How do I extract line items or repeating rows from invoices?
In Airparser's extraction schema, define the line items field as a list type rather than a scalar. Each element of the list can have its own sub-fields — e.g. description, quantity, unit price, total. Airparser's LLM will iterate over every line item in the document and return a structured array. In the Actionist workflow, the agent receives the full array and can loop over it to write each line item as a separate row to a spreadsheet, or pass the whole array to the accounting system's API as a batch create. Use Create or Update Extraction Schema to configure this.
Can I use Airparser for documents in languages other than English?
Yes. Airparser supports over 60 languages including Arabic, Chinese, French, German, Japanese, Portuguese, Spanish, and many others. The LLM extraction engine reads the document in its original language and returns the extracted fields in the language of the source document (or translated, if your schema descriptions instruct it to do so). You do not need to translate documents before uploading. If you process documents in multiple languages through the same inbox, the schema field descriptions should be clear enough that the LLM can match them regardless of source language.