Arahi AI

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.

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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.

Showing 500 of 500 tools

Commerce (64)

Marketing (62)

Productivity (58)

Communication (48)

Developer Tools (45)

Business Management (33)

CRM (26)

Infrastructure & Cloud (25)

Data Analytics (23)

Web & App Development (21)

File Storage (19)

Artificial Intelligence (AI) (12)

Surveys & Forms (10)

Entertainment (9)

Databases (8)

Human Resources (8)

Learning & Education (7)

Help Desk & Support (6)

Travel (6)

Smart Home Automation (5)

Language Tools (3)

Social Media (2)

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.

FAQ

Frequently asked questions

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.

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.

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.

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.

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.

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.

Where it runs

Run your data entry agent inside the tools you already use.

Stop typing the same data twice.

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

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