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Turn messy customer data
into a Fresh File, instantly.

Stop delaying SaaS implementations because of bad client spreadsheets. FreshFile's AI cleans, maps, formats, and validates legacy onboarding data so your customers go live in minutes, not weeks.

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The Problem

Don't let your biggest deals stall at the spreadsheet stage.

You just closed a huge contract. Now comes the hard part: migrating the client's messy legacy data into your platform. They send you exports with broken formatting, missing columns, and three different date structures.

Your implementation team spends days doing manual data entry or escalating to engineering just to make it fit. This delays onboarding, frustrates your new customer, and pushes back your time-to-revenue.

Meet FreshFile. Our AI acts as an instant data engineer for your Customer Success and Implementation teams. It turns chaotic client exports into perfectly formatted imports — entirely in the background, without requiring any technical skills.

📊 client_export_final_v3_REAL.csv
Name
Email
Date
Contract $
john smith
john@acme
03/14/2024
$12,500
SARAH JONES
sarah@corp.io
14-03-24
12500
not_an_email
2024/03/14
$12,500.00
bob.wilson
b@wilson.net
March 14
twelve-five
⚠ 7 validation errors · 4 format mismatches · 2 missing required fields
How it works

From Messy Export to
Ready-to-Import in 3 Steps

No engineering degree required. If you can describe what you need in plain English, FreshFile handles the rest.

1

Define Your Target & Rules

Set the exact standard for your clean data. Upload a sample CSV, paste a link to your API docs, or let our AI build your ideal schema. Add custom validation rules in plain English — FreshFile will strictly enforce them.

2

Upload & Validate the Map

Drop in your client's chaotic export. FreshFile automatically maps columns to your schema, standardizes formats, and runs your validation rules. You get a clear human-readable preview to review and approve with a single click.

3

Transform & Go Live

FreshFile executes the complex logic in seconds. You're handed a perfectly clean, validated, ready-to-import file — completely unblocking your implementation team to get the customer live immediately.

See it in action

The actual FreshFile experience

Click through the steps to see how FreshFile transforms a messy client export into a clean, validated file.

acme.freshfile.app / new-transformation

New Transformation

① Define Schema
② Map & Validate
③ Transform

Target schema for Acme Corp onboarding · 5 fields defined

full_name STRING Title case • trim whitespace Required
email_address EMAIL Validate format • lowercase Required
contract_start DATE ISO 8601 → YYYY-MM-DD Required
contract_value NUMBER Strip $ and commas • integer Required
company_domain STRING Extract from email if empty Optional

Mapped 5/5 columns · 3 warnings · 1 error

Client Column Your Schema Status
Name
full_name
Title case
Email Address
email_address
1 invalid
Date
contract_start
3 formats
Contract $
contract_value
Stripping $
(auto-derived)
company_domain
Extracted
4 rows · 5 columns
✓ Clean acme_corp_clean_2026-03-14.csv 3 rows · 5 columns
full_name email_address contract_start contract_value company_domain
John Smith john@acme.com 2024-03-14 12500 acme.com
Sarah Jones sarah@corp.io 2024-03-14 12500 corp.io
Bob Wilson b@wilson.net 2024-03-14 12500 wilson.net

1 row removed · invalid email · row 3 excluded

Why FreshFile

Accelerate Onboarding.
Empower Your Team.

Faster Time-to-Value

Turn a two-week data migration project into a two-minute task. Get your customers into your platform and experiencing its value immediately.

🚫

Eliminate Engineering Bottlenecks

Empower your Implementation and CS teams to handle complex data mapping, formatting, and extraction on their own. No more waiting on the dev team.

📈

Scale Your Implementations

Save a client's mapping logic once. When they send the rest of their data next week, FreshFile recognizes the format and processes it automatically.

🔍

Bulletproof Accuracy

Built-in transparency lets you see exactly what data was changed, merged, or dropped before the final file is generated. Zero data loss. Total client trust.

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