99.5% accuracy · Any format to any format
Data Conversion Services
Stuck with data in the wrong format - legacy systems, incompatible file types, and migration headaches stalling your projects. Acelerar’s data conversion specialists transform your data between any format and any system with 99.5% accuracy, so you never lose a record in transit.
Data Conversion
What is data conversion?
Data conversion is the process of transforming data from one format, structure, or system into another while preserving its integrity and meaning. This ranges from simple file format changes (PDF to Excel, XML to JSON) to complex legacy database migrations involving schema mapping, data restructuring, and validation. Businesses need data conversion when switching software platforms, merging databases after acquisitions, digitizing paper archives, or integrating systems that use different data formats. The critical requirement is zero data loss - every field, every record, every relationship must survive the conversion intact.
Market Data
The data management outsourcing market
Data management outsourcing is growing as businesses deal with increasing data volumes.
What We Convert
Any source format to any target format
File format conversion
CSV to Excel, XML to JSON, PDF to structured spreadsheet, HTML to database-ready tables, and every combination in between. We handle the format mapping, data type conversion, encoding issues, and edge cases that automated tools miss. For PDF conversions, our team manually corrects OCR errors and rebuilds table structures that automated extraction breaks.
See data processing services →
Legacy system migration
Moving from an outdated ERP, CRM, or database to a modern platform? We map your legacy schema to the new system, convert data types, restructure relationships, and validate every record after migration. Whether you’re migrating from Access to SQL Server, flat files to Salesforce, or mainframe exports to cloud databases, we ensure nothing gets lost.
See data management services →
Database restructuring & normalization
Your data exists but the structure is wrong - flat tables that should be relational, denormalized schemas causing update anomalies, or inconsistent field formats across merged datasets. We restructure and normalize your database architecture while migrating the data, giving you a clean, efficient schema that scales with your business.
See data cleansing services →
Cost Savings
The real cost of in-house data conversion
A full-time data conversion specialist in the US costs $44,000 to $56,000/year. Technical skills command a premium. With Acelerar, you get migration-grade expertise for a fraction.
$48K/yr
per year / per person
Salary · Benefits · ETL tools · Database licenses
$15K/yr
per year / per person
Migration-tested · Format-agnostic · Zero data loss
Why Outsource Data Conversion
Why businesses outsource data conversion to Acelerar
99.5% Accuracy Guaranteed
Every converted record is validated against the source. Field-by-field comparison, data type checks, and record count reconciliation ensure nothing is lost or corrupted during conversion.
Any Format, Any Direction
CSV, Excel, XML, JSON, SQL, Access, PDF, HTML, fixed-width files, mainframe exports, and proprietary formats. If data exists in it, we convert from it and to it.
Zero Data Loss
We reconcile record counts, field mappings, and data types before and after every conversion. Discrepancy reports flag any anomalies for your review before final delivery.
65% Cost Savings
In-house conversion projects require database specialists at $70,000-$100,000/year plus tool licensing. Acelerar delivers the same expertise at 65% less, scoped per-project so you pay only for what you need.
Legacy System Expertise
We have converted data from AS/400, COBOL, dBASE, Lotus Notes, FoxPro, and other legacy systems that most vendors won’t touch. If your system predates 2000, we’ve likely worked with it.
7-14 Day Turnaround
Standard conversion projects (up to 100,000 records) are delivered in 7-14 business days. Large-scale migrations are scoped with phased timelines during planning.
How It Works
From source format to target system in 5 steps
Analyze
We audit your source data: format, structure, volume, data types, and relationships. You receive a conversion plan with field mapping and timeline.
Map
Our team creates field-by-field mapping between source and target formats, handling data type conversions, encoding differences, and structural changes.
Convert
Data is converted using a combination of automated tools and manual processing for edge cases, with validation rules running throughout.
Validate
Record counts, field values, and data integrity are verified against the source. A discrepancy report flags anything that needs your review.
Deliver
Converted data is delivered in your target format or loaded directly into your new system, with a completion report and rollback backup.
We work with your data platforms
Our teams are trained on the platforms you already use.
What our data management clients say
“The Acelerar team is a self-sustaining machine. They’ve become an extension of our own team.”
“We needed reliable, fast data entry at scale. Acelerar delivered consistent quality from day one, no ramp-up time needed.”
“Acelerar handled our entire catalog migration (50,000+ SKUs) without a single missed deadline.”
Industry Outlook
Where data management outsourcing is heading
Data volumes are exploding, and outsourced data management teams are evolving with AI capabilities.