Windows utility / Mixed data fields
File Data Extractor for emails, phone numbers, URLs, and custom fields.
File Data Extractor turns mixed local documents into structured records by finding common contact fields, links, dates, metadata, and business-specific patterns defined with regular expressions.
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01Multiple field types02Custom regex03Local bulk processing
FD File Data Extractor
Windows utility Data extraction job
Processing locally 6 fields selected
Source Documents
→ Fields Standard + regex
→ Output Structured rows
Source and output stay on this PC Windows workflow
Extract more than email
Choose phones, URLs, dates, metadata, and other supported fields.
Define a custom pattern
Use regular expressions for IDs, codes, references, or business-specific text.
Keep the source local
Process file collections on Windows and export only the result you need.
Flexible local extraction
Standard fields when possible. Custom rules when necessary.
The utility combines ready-made detectors with regular-expression control for document sets that do not follow one clean structure.
Common field extraction
Find emails, phone numbers, URLs, dates, and other recognizable data types.
Metadata review
Include available file information alongside extracted content.
Custom regular expressions
Define patterns for internal IDs, codes, account references, or specialized records.
Mixed file collections
Run the same extraction job across supported document types and folders.
Preview and cleanup
Review matches and reduce duplicates or irrelevant records.
Structured export
Save the selected fields in a practical tabular output.
Structured data from files
Choose ready-made field detectors or define the pattern yourself.
The file data extractor supports common business fields and custom matching rules, allowing one controlled scan across a large local archive.
Email and phone extraction
Find recognizable contact fields across supported documents and folders.
URL and date extraction
Collect web links, dates, and other supported patterns into structured columns.
File metadata
Retain available source-file properties alongside extracted records.
Custom regex extraction
Define tested patterns for IDs, references, codes, and organization-specific values.
Reliable custom extraction
Test a representative sample before processing the full archive.
Custom patterns can match too broadly or miss valid variations. A sample-first workflow makes high-volume data extraction easier to validate.
Sample validation
Check representative source files before committing to a large scan.
Match preview
Inspect examples for false positives, missing formats, and inconsistent source text.
Source traceability
Keep file context available when a record needs to be verified.
Structured export
Save only the reviewed fields required for the authorized business task.
How the work moves
Define the fields before the scan begins.
A clear extraction profile keeps mixed archives from producing mixed results.
Select the source
Add local files and folders relevant to the business question.
Choose field rules
Enable standard detectors and add tested regular expressions when needed.
Run and inspect
Process the collection and validate representative matches.
Clean and export
Remove noise, retain useful source context, and save structured output.
Where it fits
Built for a clear job, not every job.
Analysts and teams extracting mixed fields from document collections.
Document migration
Recover links, identifiers, and contact fields before moving an archive.
Compliance review
Locate known data patterns for authorized internal assessment.
Operations cleanup
Turn loosely structured reports and folders into a reviewable field set.
Local processing and responsibility
Custom extraction rules need careful validation.
Regular expressions can over-match or miss valid data. Test rules on representative files, review the output, and process only documents your organization is authorized to use.
- Local source processing
- Testable field rules
- Preview before export
- Source authorization required
Product questions
Clear answers before the next step.
What data types can it extract?
It supports common fields such as emails, phone numbers, URLs, dates, and metadata, plus custom regular-expression patterns.
Can I create my own extraction rule?
Yes. Use a regular expression for business-specific patterns and test it before a large run.
Can I preview the result?
Yes. Review detected records before preparing the final export.
Is the source uploaded?
No. The Windows utility processes the selected local files on the computer.
What can a file data extractor find?
It can identify supported fields such as emails, phone numbers, URLs, dates, and metadata, plus custom values described by a regular expression.
Can I extract custom IDs from files?
Yes. Define and test a regular expression that matches the structure of the ID or reference.
How is this different from File Email Extractor?
File Email Extractor is focused on email-address lists. File Data Extractor supports multiple field types and custom extraction rules.
Work locally on Windows
See whether File Data Extractor fits the source and output.
Try the workflow with representative source data before choosing a license.