Neat Matter

Practical digital services

Clean CSVs. Convert structured files.

Practical digital work. Clear, checked results.

Two focused services for business files, with clear boundaries and a reviewable delivery.

Original illustration of tidy sample rows beside a mug and a checked-output symbol

Available through Fiverr

Two clear ways to get help

Choose the service that matches the work. Each card has its own scope and checkout route.

Synthetic examples

Two small examples, clearly shown.

Sample values illustrate the kind of change each service makes.

CSV cleanup · synthetic

Exact duplicate removal

BEFORE · 3 data rows
0007,mug
0007,mug
0012,bottle

AFTER · 2 kept rows
0007,mug
0012,bottle

Row check: 3 = 2 kept + 1 rejected
JSON to JSONL · synthetic

Same records, line by line

INPUT · records.json
[{"sku":"0007","name":"mug"},
{"sku":"0012","name":"bottle"}]

OUTPUT · records.jsonl
{"sku":"0007","name":"mug"}
{"sku":"0012","name":"bottle"}

A simple path

Clear scope, then checked delivery

Choose a service

Open the matching Fiverr offer to review its current package and checkout terms.

Confirm the exact scope

Use the offer’s requirements to select supported rules or a conversion mode. Unclear work is not guessed.

Review the result

Receive the service’s stated output files and checks through the existing Fiverr order.

By enquiry

Need help with a larger CSV?

For business customers. Discuss your file and requirements before sending any data. Successfully tested end-to-end on synthetic CSVs up to 20,000 rows and 12 columns. Each file is assessed for compatibility; this is not a promise to accept every file of that size.

Explore larger CSV cleanup

Checked delivery

Clear scope, explained results.

Outputs are checked against the confirmed scope and delivered with a clear account of what was done. Unsupported or ambiguous requests are clarified or declined before processing.

Scope · checks · delivery

Know what changes—and what stays as supplied.

Examples on this site use synthetic data.