Character Encoding Repair | Fix Mojibake and Garbled Text in Your Data | WebFootprint
Legacy Modernisation Data Repair → Character Encoding

Character Encoding Repair: Fixing Mojibake and Garbled Text in Your Data

Customer names, addresses, or product descriptions show as weird symbols after an import or migration. That garbled text erodes trust, breaks search, and sends parcels to the wrong place.

We restore readable data and stop the rework cycle.

A glass CRM panel showing garbled customer names connected by a gold ribbon of repaired text cards to a glossy UTF-8 badge on a warm dark brown scene
68%
of firms that regularly import or export CSVs report encoding issues (csv-x.com, 340 clients)
23 hrs/mo
average staff time spent troubleshooting encoding problems (same survey)
R280
typical direct cost per failed delivery when address data is wrong (~$17.20)
39%
of deliveries simply fail when addresses are inaccurate or incomplete (Loqate)
The Problem

Sound Familiar?

These are the exact issues our clients faced before encoding repair:

  • Customer names display as José, François, or Müller after a CRM or ERP import
  • Search cannot find clients when staff type the real spelling, so support tickets pile up
  • Delivery labels and invoices go out with suburb names and accents corrupted, then parcels bounce
  • Afrikaans and Portuguese names with ë, é, õ, and ç are the first fields to break after a migration
  • Finance and CS retype the same contact records every week because nobody trusts the database

Cloud CRM and ERP migrations keep pushing Latin-1 and Windows-1252 databases into UTF-8. If the conversion is wrong once, every export, mail merge, and courier label inherits the damage until someone repairs the source data.

How It Works

What Character Encoding Repair Actually Does

Scan the mess → restore readable text → prove the fix → stop the next import from breaking it again.

1

Scan for Mojibake

We flag fields where UTF-8, Latin-1, or Windows-1252 was read the wrong way

2

Restore Readable Text

Names, addresses, and invoice lines convert back to the characters people expect

3

Verify with Your Team

Ops and CS spot-check real customers, including accented SA and Portuguese names

4

Guard Future Imports

Encoding checks on CSV and API feeds so garbled text does not return next quarter

What We Build

Everything You Need for a Clean UTF-8 Conversion

Encoding Diagnosis

We scan CRM, ERP, and database text fields for classic mojibake patterns from UTF-8, Latin-1, and Windows-1252 mismatches before changing a single row.

Systematic Mojibake Repair

Garbled names, addresses, and product descriptions are restored to readable text with reversible conversion paths, not guesswork find-and-replace.

Name and Address Priority

Contact names, shipping addresses, and invoice lines are repaired first so customer service, couriers, and finance stop working from broken records.

Before and After Proof

You get sample pairs, record counts, and field coverage so leadership can see José, Café, and Müller restored correctly before the full cutover.

Import Guardrails

We add encoding checks on CSV and API imports so the next migration or partner feed cannot reintroduce garbled text into production.

Search and Mail Merge Ready

Once text is clean, CRM search, mail merges, and reports work on the names people actually use, including South African accented surnames.

Systems Where We Repair Garbled Text

HubSpotSalesforcePipedriveZoho CRMXeroSageCustom SQL / CSV
Client Story

From 14 Hours/Week to 1 Hour/Week

How a Gauteng wholesale distributor restored 11,400 readable customer names after a Latin-1 to UTF-8 CRM migration went wrong.

Before

The Manual Process

  • Customer service retyped names that displayed as José and François after the cloud CRM cutover
  • CRM search failed on real spellings, so agents opened tickets by phone number instead
  • Courier labels printed garbled suburb and street text, driving redeliveries
  • Afrikaans surnames with ë and é were the highest error cluster on every export
  • Finance and ops argued over which spreadsheet was the "correct" contact list
14 hrs/week spent fixing garbled records
After

The Repaired Process

  • Systematic encoding repair restored names and addresses from the original byte patterns
  • Agents search and mail-merge against the spellings customers actually use
  • Import validation blocks partner CSVs that arrive with the wrong encoding
  • Delivery address failures from garbled text dropped sharply within the first month
  • One trusted contact list feeds CRM, invoices, and courier labels
1 hr/week spot-checking new imports
11,400 records restored to readable text
676 hrs staff time recovered per year
R185K+ recovered in staff time (year 1)
3 months to full ROI
The Difference

Before vs After Mojibake Repair

Before
After
Customer name display
Garbled symbols
Correct spelling
CRM search hit rate
Agents work around it
Names findable again
Weekly CS rework
10 to 14 hours
Under 1 hour
Courier / invoice text
Misprinted accents
Clean labels
New CSV imports
Silent corruption
Encoding checked
Annual time recovered
None
600+ hours
Getting Started

How It Works

From first conversation to clean, searchable text in 1 to 3 weeks.

01

Show Us the Garbled Fields

Screenshots of broken names, which system they came from, and whether a recent import or migration started it.

02

Free Diagnosis Call

30-minute call with ops or customer service to map which tables are affected and how urgent delivery and search failures are.

03

Repair and Verify

We restore encoding on a controlled copy, spot-check Afrikaans and Portuguese names, then apply the fix with before/after counts.

04

Lock the Front Door

Import validation and a short ops playbook so the next CSV drop or cloud migration does not recreate the same mess.

Questions

Frequently Asked Questions

What is mojibake, in plain language?

Mojibake is garbled text that appears when a system reads characters with the wrong encoding. Names that should show José or Müller become José or Müller. It usually surfaces after a CSV import, CRM migration, or Latin-1 to UTF-8 conversion, and it is a data problem, not a font problem.

Which systems and encodings do you repair?

We repair text living in CRMs, ERPs, accounting tools, and SQL databases where UTF-8, Latin-1 (ISO-8859-1), and Windows-1252 were mixed. That covers HubSpot, Salesforce, Pipedrive, Zoho, Xero, Sage, and custom databases fed by partner CSVs.

Will you overwrite our live customer data without a safety net?

No. We work from a forensic copy, prove the conversion on samples your team recognises, then apply the repair with rollback options. Irreversible edits only happen after you approve the before/after evidence.

How long does character encoding repair usually take?

Focused diagnosis on a mid-size CRM often completes within a day. Repairing tens of thousands of name and address fields typically lands in 1 to 3 weeks including verification. Multi-system estates with repeated double-encoding take longer, and we set the timeline after the first scan.

Why does this hit South African customer lists so hard?

Afrikaans and Portuguese names use accents that basic ASCII and many legacy Latin-1 workflows mishandle. When those bytes are read as the wrong encoding, search fails, mail merges look unprofessional, and courier labels misprint suburbs and street names.

How much does professional mojibake repair cost?

Diagnosis and repair for a single CRM or ERP export typically starts around R25,000. Multi-system cleanups with import guardrails and verification reports usually land between R45,000 and R95,000. Against 23 hours a month of staff troubleshooting and failed deliveries from garbled addresses, most mid-market teams see payback inside one or two quarters.

Ready to repair your data?

Stop Living with Garbled Customer Names

If your team is still retyping names with weird symbols after every import, you are paying for a problem that systematic character encoding repair already solves.

Tell us which system shows the garbled text, whether a migration started it, and how much time customer service spends fixing records. We will show you what a clean UTF-8 repair looks like for your data.

Chat with us