CSV / TSV / Pipe File Viewer
Open and inspect CSV, TSV, pipe-delimited, and custom-delimited files directly in your browser. Process files in your browser during normal use for local inspection, with no required server-side upload.
Auto-Detection
Automatically detects CSV, TSV, and Pipe (|) delimited schemas.
Dynamic Grid
Infers column headers and formats datasets into a spreadsheet layout.
Local Processing
Data is processed in your browser during normal use and is not intentionally transmitted to $Efneze servers. Designed for local file inspection with no required server-side upload.
By using this free tool, you agree to the Efneze Terms of Use and Privacy Policy. Processing runs in your browser during normal use. Avoid pasting sensitive, production, credential, token, PHI, or confidential data unless permitted by your organization's policies.
Start by pasting raw data or loading an example
Provide CSV, TSV, or pipe-delimited data in the input box to quickly render it as a clean interactive grid.
Have feedback or an edge case for this tool?
Many tools begin as ideas from engineers solving practical technical problems. If you encounter an unusual format, have a feature request, or find a bug, share your feedback with the community.
Browser tools process data locally in your browser runtime. Avoid submitting sensitive information or PHI.
Need Deeper Local File Review?
For operations reports, billing files, inventory exports, logs, migration extracts, legacy system files, and large-scale technical review workflows, explore our upcoming desktop utility $Forge.
Inspect Flat Files Before ETL and Onboarding
Healthcare data teams still receive large volumes of operational data as flat files. CSV, tab-delimited, pipe-delimited, and fixed-width files are common in eligibility exports, billing files, operations reports, logs, migration extracts, legacy system files, and batch onboarding projects. A flat file viewer makes these files easier to inspect before writing transformation logic or loading data into a warehouse.
The goal is quick visibility: detect delimiters, check headers, verify row shape, spot missing values, and confirm whether identifiers, dates, and codes survived export correctly. This helps ETL developers and QA analysts catch file-quality issues before they become pipeline failures.
Supported Flat File Formats
| Format | Separator model | Common use cases |
|---|---|---|
| CSV | Comma | Inventory exports, encounter logs, billing files, audit samples |
| Tab-delimited | Tab character | Lab exports, database dumps, operational reports |
| Pipe-delimited | Vertical bar | Legacy billing extracts, operations reports, interface staging files |
| Fixed-width | Column position | Mainframe exports, payer files, legacy system extracts |
Use Cases for ETL, Healthcare Data, and QA Teams
ETL development
Inspect source files before building parser logic, schema mappings, or warehouse loads.
Data Onboarding Review
Review records, extracts, and operational files from new data partners or migration sources.
File validation
Check delimiters, column counts, missing headers, and malformed rows before ingestion.
QA analysis
Compare sample files against expected export formats and transformation assumptions.
Related Interoperability Tools
Flat files often sit beside message and resource workflows. Decode interface messages with the HL7 parser, inspect C-CDA exports with the CCDA viewer, validate transformed resources with the FHIR validator, review healthcare ETL architecture patterns, and use $Forge as a planned local flat file review utility.
Frequently Asked Questions
What is a flat file viewer?
A flat file viewer helps you inspect text-based data files such as CSV, tab-delimited, pipe-delimited, and fixed-width extracts in a readable table-like format.
Can I inspect CSV and delimited files online?
Yes. Paste CSV, tab-delimited, or pipe-delimited text into the viewer to inspect columns, rows, headers, delimiters, and data quality issues directly in the browser.
Does this support fixed-width files?
The page is useful for reviewing fixed-width content and planning field-position parsing. Fixed-width files may require known column start and end positions for full production extraction.
Is sensitive file data uploaded?
The viewer processes pasted data in the browser and does not require uploading text to a server. Client-side processing helps reduce exposure, but teams should still follow their own privacy and security policies.
Who uses flat file viewers in healthcare ETL?
Data engineers, QA analysts, interface teams, and onboarding teams use flat file viewers to inspect inventory exports, billing files, operations reports, logs, migration extracts, and legacy system files.