Fewer Custom Pipelines
Stop building per-partner parsers and per-format normalization scripts on Lambda, Step Functions, and EventBridge. When a partner changes their format, you update one TransformScript instead of redeploying a pipeline.
Turn File Received Into Data Ready, Automatically
Integrations break the moment a file crosses a boundary from a partner, supplier, or legacy system. Files.com sits right there and makes the data inside the file usable the moment it lands. Extract the meaning out of what arrives, transform partner formats into your own schema, and verify it’s correct before anything downstream touches it. All at intake, inside the File Orchestration Platform that already moves your files.
The Mess Starts Where Files Cross Boundaries
Partner data and EDI feeds are messy. Every partner reads the same standard a little differently, so the file you get rarely matches the spec. When a file crosses from a supplier, a partner, a subsidiary, or a legacy system into yours, the formats don’t line up. Your downstream systems inherit the mess. That’s where the broken data, the late files, and the constant cleanup come from.
Extract, Transform, Verify keeps that mess from spreading. There is no separate ETL product to wire up. Files.com does the work right where files arrive, before anything downstream sees them.
Three Steps From Arrival To Action
Each step is a real capability you can use on its own. Together they take a raw inbound file to clean, verified, routed data.
Extract: Read What Arrives
File extraction pulls field values out of structured files (XML, JSON, EDI, HL7, CSV) into metadata. AI handles the messy files that don’t fit a fixed shape. So fewer files get kicked to a human, and you act faster on every one.
Transform: Make It System-Ready
Normalize partner formats into your own schema with TransformScript. Reshape payloads, convert between interchange formats, standardize fields, enrich records, and route on content. A partner’s odd input becomes a predictable output your systems already know how to read.
Verify: Catch Problems Early
Check the data is correct before downstream systems ever see it. Define what “correct” looks like, catch broken documents early, and monitor delivery so a late or missing file raises an alert instead of slipping by unnoticed.
What You Get For Doing It At Intake
Doing extract, transform, and verify the moment a file lands pays off across every integration you run.
Fewer Downstream Failures
When bad data is caught and repaired at the moment it arrives, your downstream systems and your support team stop inheriting the mess.
Faster Partner Onboarding
A new partner’s quirky format gets normalized at intake instead of triggering a months-long integration project, so you onboard them in days.
Cleaner Audit And Observability
Because it all runs inside Files.com, every transform, extraction, and check is part of the same audit record. It’s not scattered across services you have to stitch together, so the security review has one place to look.
Convert Whole Files To Another Format, Too
Transformation isn’t only about the data inside a file. Sometimes the file itself is the wrong shape. A partner sends a spreadsheet as .xls and your downstream system wants .csv. A report needs to go out as a PDF. A scanned contract arrives as a PDF and someone needs to edit it as a .docx.
Files.com converts documents, spreadsheets, presentations, and images from one format to another right on the platform, writing a new file in the target format and leaving the original in place. Run it by hand from the File Manager or a preview, or trigger it programmatically through the API, an SDK, or the AI Assistant, so a conversion can be a step in the same flow that already moves the file.
The Engines Behind Each Step
The transform engine is Files TransformScript, a DataWeave-inspired language that reshapes, normalizes, and routes data inside your Automations. The extract engine is file extraction, which turns a file’s contents into metadata your Automations can filter and route on.
Usage across all of it consumes Transformation and AI Credits, included with every plan and scaling by tier.
Extract, Transform, And Verify: Common Questions
What teams ask about how Files.com makes inbound data usable at intake, how it differs from an ETL tool, and where AI fits in.
“File received to data ready” means Files.com makes the data inside a file usable the moment the file lands. Extract reads the values out of it. Transform reshapes it into the structure your systems expect. Verify checks that it’s correct before anything downstream touches it. The file arrives and the data is ready to act on, automatically.
Files.com is not an ETL tool or an iPaaS replacement. Extract, transform, and verify covers one specific job: the integration work that belongs at the file-intake layer, done where the files already are. Data-warehouse loading and multi-system orchestration stay in your downstream stack. Files.com takes on the intake-layer work instead of replacing your whole integration stack. Teams running MuleSoft or Boomi are often Files.com customers too.
Extract, transform, and verify are three Files.com capabilities that run inside Automations. File extraction reads field values out of structured files (XML, JSON, EDI X12, EDIFACT, HL7 v2, CSV) into metadata you can filter on. TransformScript reshapes, cleans up, and routes data, and can apply AI to messy files. Verification checks that a file is correct and watches delivery, so a missing or late file becomes an alert.
Files.com assumes nothing and keeps everything. Files.com holds onto the raw file alongside the cleaned-up version, and pulls out, standardizes, and checks as much of the data as the file allows. When a file is too messy for a fixed rule, AI inside TransformScript can fix broken content and pull fields out of unstructured files. So instead of detecting a bad file and failing, the workflow recovers.
In Files.com, AI runs inside TransformScript to extract fields, classify documents, or summarize content. The output comes back typed and machine-readable, so you can route, validate, and automate against it. You provide a prompt, explicit inputs, and an output schema. You get predictable structured results, not freeform text you have to parse again. It is one of several ways AI works across Files.com.
Files.com converts documents, spreadsheets, presentations, and images between formats: a .xls spreadsheet to .csv, a PDF to an editable .docx, a presentation to PDF, or an image converted and resized. The conversion writes a new file in the target format and leaves the original in place. Run it from the File Manager or a file preview, or trigger it through the API, an SDK, or the AI Assistant.
Files.com converts documents, including PDF, Word formats, RTF, Markdown, EPUB, and OpenDocument text, to .docx, PDF, RTF, or plain text. Spreadsheets (including Excel formats, CSV, TSV, and OpenDocument) convert to .csv, PDF, or .xlsx. Presentations (including PowerPoint and OpenDocument formats) convert to PDF or .pptx. Images can be converted between formats and resized. The file’s extension determines which output formats are available.
Make Inbound Data Usable The Moment It Lands
Start a 7-day free trial and build an Automation that extracts the fields you need, transforms the file into your schema, and verifies it. All before a downstream system ever sees it.
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