$7/hour · 99.5% accuracy SLA
Data Conversion Services
Acelerar provides outsourced data conversion services from $7/hour for files, databases, documents, media, and legacy systems. A dedicated team maps each source field and validates the target output against a 99.5% accuracy SLA.
Data Conversion
What does a data conversion service include?
A data conversion service changes records from one format, structure, or system into another while preserving the agreed fields and relationships. Scope comes first. The work can cover PDF-to-Excel conversion, XML-to-JSON files, document digitization, schema mapping, and legacy database migration. We establish source counts and target rules, then define exception handling and acceptance checks before conversion starts.
What We Convert
File and database conversion services
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.
Explore outsourced data processing services →
Legacy system migration
Moving from an outdated ERP, CRM, or database to a modern platform? We map the legacy schema to the new system, convert data types, restructure relationships, and validate the agreed fields after migration. Access-to-SQL Server, flat-file-to-Salesforce, and mainframe-export projects are scoped after we inspect the source and target requirements.
Explore data management services →
Database restructuring & normalization
Your data may exist in flat tables, duplicated records, or inconsistent field formats across merged datasets. We can restructure and normalize the target schema during migration when those changes are documented in the field map and approved by your technical owner.
Explore data cleansing services →
Data Outsourcing Resources
Prepare the workflow around data conversion
Data Entry Outsourcing Services Guide
See how recurring entry, validation, cleanup, migration support, and exception handling fit a managed service.
Data Entry Outsourcing Tactics
Use practical batching, control-sheet, quality, and handoff methods when source records need manual preparation.
Data Processing Outsourcing
Outsource sorting, validation, transformation, and structured output work that sits before or after conversion.
Cost Savings
Data conversion outsourcing vs. US in-house staffing
Use the same scope and working hours when comparing options. In-house staffing can suit work that needs constant onsite access, while data conversion outsourcing can fit documented, repeatable workloads.
$45K-80K/yr
per year / per person
Approved fully loaded US in-house staffing comparison
~$15K/yr
per year / per person
Based on $7/hour across 2,080 hours, with no setup fees and month-to-month terms
Why Outsource Data Conversion
Why businesses outsource data conversion to Acelerar
99.5% Accuracy SLA
Converted output is checked against the agreed source fields through record-count reconciliation, data-type checks, and field-level sampling. Exceptions are logged for review under the 99.5% accuracy SLA.
Supported File and Data Formats
CSV, Excel, XML, JSON, SQL, Access, PDF, HTML, fixed-width files, mainframe exports, and selected proprietary formats can be assessed. Feasibility depends on source access and target requirements.
Reconciled Conversion Output
We reconcile record counts, field mappings, data types, and required relationships before and after conversion. Discrepancy reports identify source gaps and target exceptions before final acceptance.
50-70% Cost Savings
A dedicated Acelerar specialist starts at $7/hour, or ~$15K per year at 2,080 hours, compared with $45K-80K for fully loaded US in-house staffing. That supports 50-70% savings with no setup fees and month-to-month terms.
Legacy Format Assessment
We can assess exports from AS/400 and COBOL, as well as dBASE and Lotus Notes. FoxPro and Access can also be reviewed. The same applies to fixed-width systems. Support depends on source access and documentation. Encoding and the target schema are checked separately.
Scope-Based Timeline
A dedicated team can be deployed in 7 days. Delivery timing is then based on record volume, source condition, mapping complexity, validation rules, and the number of approval checkpoints.
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.
Test the conversion before committing the full dataset
Share a representative source sample and the required target format. We will review the field mapping, exceptions, validation rules, and delivery scope before production begins.
Request a Sample AssessmentWe work with your data platforms
Our teams are trained on the platforms you already use.
