What is AI data entry?

AI data entry is the use of an AI agent to read information from one place — emails, PDFs, web forms, voice notes, scraped tables — and write it accurately into another, like a CRM, spreadsheet, accounting tool, or database. Unlike traditional RPA, the agent understands context: it can fill the right field even when source documents are unstructured or formatted differently each time.

How accurate is AI data entry?

Accuracy depends on the source quality and the field type. Structured fields (names, emails, currency, dates) typically clear 99% with confidence-scoring fallback. Free-text fields are scored per row; anything below your threshold is routed to a human reviewer with the source attached. Every action is logged and reversible.

Which tools can the AI data entry agent connect to?

1,500+ apps via native connectors, including Salesforce, HubSpot, Pipedrive, Airtable, Notion, Google Sheets, QuickBooks, Xero, Zendesk, Stripe, and most modern SaaS CRMs, billing tools, ATSes, and ERPs. For tools without an API, our browser agent can log in and fill forms directly.

Is it secure to give an AI agent access to my CRM?

Yes. Connections use OAuth and scoped read/write permissions you set per tool. Data is encrypted in transit and at rest, never used for model training, and every write is captured in an immutable audit log. SOC 2 in progress.

How is this different from RPA tools like UiPath?

RPA scripts a fixed sequence of clicks and breaks the moment the source layout changes. An AI data entry agent reads the source semantically — a renamed column or moved field doesn't break it. You also describe the task in plain English instead of building a flow diagram.

What does it cost to automate data entry with AI?

Arahi starts free for the first 1,500 actions/month. Paid plans begin at $29/mo for unlimited tools and connections. Most SMBs replace 10–20 hours/week of copy-paste — payback inside the first month.

AI Data Entry, Across Any Tool You Use

AI data entry takes the work most teams lose 5–15 hours a week to — copying customer details from email into the CRM, retyping invoices into accounting, moving form submissions into a spreadsheet — and hands it to an agent that gets it right the first time. Connect your tools once, describe the task in plain English, and the agent reads, validates, and writes the data while you do the work that actually moves the business forward.

Get Started View Pricing

1,500+ — Connected tools: CRMs, spreadsheets, accounting, ATS, billing
99%+ — Field accuracy: Confidence-scored, audit-logged, reversible
10 min — Setup time: Plain-English task description, no flow builder
15 hrs — Reclaimed weekly: Median for SMBs replacing manual copy-paste

What an AI data entry agent does

It reads from messy sources and writes to structured ones. The agent extracts contact details from a 12-message email thread, line items from a scanned PDF invoice, table rows from a supplier portal, or fields from a Typeform submission — then writes them back into the right system with the right field mapping.

Along the way it dedupes against records you already have, validates formats (emails, phone numbers, currencies, dates), normalizes names and country codes, and routes anything below a confidence threshold to a human reviewer. Common destinations: Salesforce, HubSpot, Airtable, Notion, Google Sheets, QuickBooks, Xero, Postgres, Snowflake — plus any of the 1,500+ tools below.

Works with 1,500+ tools

Click through to the AI data entry guide for any tool below, or filter to find yours.

500 tools

Commerce

Marketing

Productivity

Communication

Developer Tools

Business Management

CRM

Infrastructure & Cloud

Data Analytics

Web & App Development

File Storage

Artificial Intelligence (AI)

Surveys & Forms

Entertainment

Databases

Human Resources

Learning & Education

Help Desk & Support

Travel

Smart Home Automation

Language Tools

Social Media

Common data entry workflows we automate

Five patterns that account for most of the manual data entry SMBs run today.

Email → CRM: When a prospect replies to your inbox, the agent extracts company, role, intent, and budget signals from the thread, creates or updates the contact in Salesforce or HubSpot, and attaches the full thread as activity history.
PDF invoice → Accounting: An invoice lands in a watched folder or inbox. The agent reads vendor, line items, totals, tax, and payment terms straight from the PDF — even handwritten ones — then writes a draft bill into QuickBooks or Xero with the original attached.
Form submission → Spreadsheet: Typeform, Tally, Google Forms, and JotForm submissions get parsed, deduped against existing rows, and appended to the right Google Sheet or Airtable base — with field mapping rules you set once and forget.
Scraped table → Database: Point the browser agent at a supplier portal, an MLS listing page, or a competitor pricing site. It logs in, extracts the table, normalizes the columns, and pushes clean rows to your Postgres or warehouse on a schedule.
Voice memo → CRM note: After a sales call, send a Loom or voice memo to the agent. It transcribes, pulls action items, identifies the account, and writes a structured call summary back into the CRM under the right opportunity.

How accuracy is handled

Every field the agent writes carries a confidence score. You set the threshold per workflow — 0.95 for billing fields where one wrong digit costs money, 0.7 for free-text notes where loose paraphrase is fine. Anything below the bar gets paused and queued for a human reviewer with the source document attached; approve or correct and the agent learns from the edit.

Every write is logged with the source, the model, the timestamp, and the field-level diff — so you can audit any row, undo any action, or replay a batch with a different threshold. We don’t claim 100% accuracy and you shouldn’t pay for any tool that does. We claim measurable accuracy with a human in the loop where it matters.

AI data entry by industry

Industry-specific guides cover the data sources and destinations most common in each vertical.

Frequently asked questions

What is AI data entry?: AI data entry is the use of an AI agent to read information from one place — emails, PDFs, web forms, voice notes, scraped tables — and write it accurately into another, like a CRM, spreadsheet, accounting tool, or database. Unlike traditional RPA, the agent understands context: it can fill the right field even when source documents are unstructured or formatted differently each time.
How accurate is AI data entry?: Accuracy depends on the source quality and the field type. Structured fields (names, emails, currency, dates) typically clear 99% with confidence-scoring fallback. Free-text fields are scored per row; anything below your threshold is routed to a human reviewer with the source attached. Every action is logged and reversible.
Which tools can the AI data entry agent connect to?: 1,500+ apps via native connectors, including Salesforce, HubSpot, Pipedrive, Airtable, Notion, Google Sheets, QuickBooks, Xero, Zendesk, Stripe, and most modern SaaS CRMs, billing tools, ATSes, and ERPs. For tools without an API, our browser agent can log in and fill forms directly.
Is it secure to give an AI agent access to my CRM?: Yes. Connections use OAuth and scoped read/write permissions you set per tool. Data is encrypted in transit and at rest, never used for model training, and every write is captured in an immutable audit log. SOC 2 in progress.
How is this different from RPA tools like UiPath?: RPA scripts a fixed sequence of clicks and breaks the moment the source layout changes. An AI data entry agent reads the source semantically — a renamed column or moved field doesn't break it. You also describe the task in plain English instead of building a flow diagram.
What does it cost to automate data entry with AI?: Arahi starts free for the first 1,500 actions/month. Paid plans begin at $29/mo for unlimited tools and connections. Most SMBs replace 10–20 hours/week of copy-paste — payback inside the first month.

Stop typing the same data twice.

Connect your tools, describe the task, ship a working AI data entry agent in 10 minutes.