$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 workflow showing files being transformed between PDF, Excel, XML, JSON, and database formats with accuracy indicators
500+
Team Members
200+
Clients Served
99.5%
Accuracy SLA
7 Days
Team Deployment
4.9 out of 5·from 120+ verified reviews
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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.

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.

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File conversion interface showing PDF documents being transformed into structured Excel spreadsheets with preserved formatting

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Moving from an outdated ERP, CRM, or database to a modern platform?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 migration diagram showing legacy system records being mapped, transformed, and loaded into modern cloud database

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
Database normalization diagram showing flat table being restructured into properly related tables with foreign key relationships

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.

In-House Data Conversion Specialist (US)

$45K-80K/yr

per year / per person

Approved fully loaded US in-house staffing comparison

Acelerar Data Conversion

~$15K/yr

per year / per person

Based on $7/hour across 2,080 hours, with no setup fees and month-to-month terms

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.

From source format to target system in 5 steps

1

Analyze

We audit your source data: format, structure, volume, data types, and relationships. You receive a conversion plan with field mapping and timeline.

2

Map

Our team creates field-by-field mapping between source and target formats, handling data type conversions, encoding differences, and structural changes.

3

Convert

Data is converted using a combination of automated tools and manual processing for edge cases, with validation rules running throughout.

4

Validate

Record counts, field values, and data integrity are verified against the source. A discrepancy report flags anything that needs your review.

5

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 Assessment

We work with your data platforms

Our teams are trained on the platforms you already use.

ISO 27001 Certified
ISO 9001:2015
NDA for Every Team Member
Encrypted Data Transfer

Data Conversion Services FAQs

Data conversion is the process of changing data from one format, structure, or system into another while maintaining its integrity. This includes file format conversions (PDF to Excel, XML to JSON), database migrations (legacy to modern platforms), and data restructuring (flat files to relational databases).
The main types include file format conversion (CSV, Excel, XML, JSON, PDF), database migration (legacy to modern platforms), document digitization (paper to digital), media conversion (image and audio format changes), encoding conversion (character set and language encoding), and schema restructuring (flat to relational, denormalized to normalized).
Data conversion software can work well for clean, repeatable files with stable field rules. A data conversion service is more suitable when source files are inconsistent, OCR cleanup is required, schemas differ, or exceptions need human review. We can use approved software inside a documented workflow without positioning software as a separate service we own.
Acelerar data conversion services start at $7/hour. The final quote is based on record count, source condition, mapping complexity, target format, validation rules, and delivery schedule. There are no setup fees, and engagements are month-to-month rather than tied to a long-term contract.
We can assess AS/400, COBOL, dBASE, Lotus Notes, FoxPro, Access, fixed-width mainframe exports, and proprietary flat files. We confirm feasibility after reviewing a sample, the available documentation, encoding, and target schema.
We support CSV, TSV, Excel (XLS/XLSX), XML, JSON, SQL, Access (MDB/ACCDB), PDF, HTML, fixed-width text, EDI, and YAML. Parquet and Avro can be assessed with the source sample. Proprietary flat files require documentation and a feasibility review.
We use a three-checkpoint validation process: pre-conversion audit (record counts, field inventories), in-process validation (data type checks, null handling, encoding verification), and post-conversion reconciliation (field-by-field source-to-target comparison). Every project includes a discrepancy report.
Turnaround is set after we review record volume, source quality, schema complexity, target requirements, and approval steps. A dedicated team can be deployed in 7 days. Large or higher-risk migrations are usually divided into a pilot and approved production batches.
Yes, when the source and target systems can be accessed safely and the mapping rules are documented. Large migrations are scoped in phases, starting with a representative pilot and continuing through approved batches with reconciliation checkpoints.
Yes. PDF to Excel is one of our most requested services. We handle scanned PDFs (OCR extraction and cleanup), native PDFs (direct extraction), and complex table structures that automated tools typically break. XML conversion includes schema mapping, namespace handling, and XSD validation.
Records with OCR errors, ambiguous field mappings, encoding issues, or values that do not fit the target schema are moved to an exception queue. Your rules determine which items we can correct and which require approval before delivery.

Get data conversion services from $7/hour

Get a free conversion assessment based on your source sample, target format, field rules, and acceptance checks.

No commitment required. We respond within 24 hours.