Convertisseur CSV

Convertissez CSV

Transformez CSV en Excel, JSON, XML. Conversion de données facile.

Formats multiples Encodage UTF-8 Séparateurs flexibles

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Jusqu'à 100 Mo gratuit • Format de Sortie: CSV, XLSX, JSON, PDF

Sécurisé et Privé

Fichiers supprimés en 2h

Traitement Rapide

Pas de compte requis

Ultra Rapide

How to Convert

Convertissez n'importe quel fichier en secondes — sans logiciel, sans inscription requise.

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Choisir le format

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Pourquoi EasyConv

Why Use EasyConv

Professional-grade conversion with features designed for real-world workflows.

Tous les formats principaux

Prend en charge tous les formats populaires.

Excel XLSX Output

CSV to XLSX creates a properly formatted Excel workbook with the first row as column headers and correct data types.

JSON Array Output

CSV converts to a JSON array of objects, using the header row as keys — perfect for REST APIs and JavaScript applications.

PDF Table Export

Render your CSV as a paginated PDF table with column headings — ideal for reports, data snapshots, and printed summaries.

HTML Table Export

Convert CSV to an HTML table that you can embed directly in a web page or wiki. Styled with clean Bootstrap-compatible markup.

Traitement sécurisé

Les fichiers sont traités en toute sécurité.

300+ Formats

Supported Formats

Detailed breakdown of every format supported by this converter.

Format	Description	Extension	Use Case
CSV → XLSX	CSV to formatted Excel workbook	`.xlsx`	Data analysis, pivot tables, charts
CSV → JSON	CSV to JSON array of objects	`.json`	REST APIs, JavaScript, NoSQL import
CSV → PDF	CSV as a paginated PDF table	`.pdf`	Data reports, printed summaries
CSV → HTML	CSV to an HTML <table> element	`.html`	Web embedding, wiki tables
CSV → TSV	Comma-separated to tab-separated	`.tsv`	Bioinformatics, PostgreSQL COPY
XLSX → CSV	Excel spreadsheet to CSV	`.csv`	Data export, database import
JSON → CSV	JSON array of objects to flat CSV	`.csv`	API response to spreadsheet
TSV → CSV	Tab-separated to comma-separated	`.csv`	Normalise data pipeline input

3 Étapes Simples

Frequently Asked Questions

Everything you need to know about this conversion tool.

We auto-detect comma (,), semicolon (;), tab (\t), and pipe (|) delimiters. If your file uses a custom delimiter, specify it in the "Custom Delimiter" option field.

Yes — we attempt to infer data types: numeric strings become JSON numbers, "true"/"false" become JSON booleans, and ISO date strings are preserved as strings. Everything else is a JSON string.

Properly quoted multi-line fields (RFC 4180 compliant) are parsed correctly. Fields containing newlines must be enclosed in double quotes.

We detect UTF-8, UTF-8-BOM, UTF-16, Latin-1 (ISO-8859-1), and Windows-1252 encodings automatically. All output files use UTF-8.

By default the first row is treated as column headers. Toggle the "No Header Row" option if your CSV has no header to prevent the first data row from being used as field names.

Files up to 100 MB are supported. Very large CSV files (millions of rows) converting to XLSX are subject to Excel's 1,048,576 row limit — excess rows are truncated.

12M+ utilisateurs nous font confiance

Who Uses This Tool

Real-world use cases from professionals across different industries.

Business Analyst

CSV to Excel for Data Analysis

Convert raw CSV exports from CRMs and databases to XLSX to add pivot tables, charts, and conditional formatting.

Developer

CSV to JSON for REST APIs

Convert a CSV data file to a JSON array of objects for direct use in REST API responses or JavaScript applications.

Data Reporter

CSV to PDF for Printed Reports

Render a CSV dataset as a paginated PDF table — ideal for printed management reports, board packs, or compliance summaries.

Web Developer

CSV to HTML Table for Web Pages

Convert a CSV file to a clean HTML table that can be embedded directly in a web page, wiki, or CMS content block.

Database Admin

Excel to CSV for Database Import

Convert Excel exports to clean UTF-8 CSV for bulk import into PostgreSQL, MySQL, MongoDB, or BigQuery.

Data Engineer

Normalise Delimiter Formats

Convert TSV (tab-separated) or semicolon-delimited files to standard comma-separated CSV for pipeline compatibility.

Pourquoi EasyConv

Comparaison

Voir comment nous nous comparons aux autres solutions

Feature	Excel	Other Online
CSV → Excel XLSX
CSV → JSON array		Limited
CSV → PDF table
CSV → HTML table
Formats supportés	Partial	Varies
Excel → CSV
JSON → CSV
Gratuit		Varies

Technical Specifications

Detailed technical information about our conversion engine.

Limits

Max file size: 100 MB (free)
XLSX output: max 1,048,576 rows (Excel limit)
Input: CSV, TSV, XLSX, JSON array

CSV Excel XLSX JSON PDF HTML TSV Data Conversion

Engine

Custom Python csv/pandas pipeline · LibreOffice Calc (XLSX output) · GhostScript (PDF output)

Qualité

UTF-8 output with BOM · ISO 8601 dates · type inference for JSON export

Speed

Typical: 1–5 s for most CSVs; large files (50 MB+) may take 10–20 s

Security

HTTPS transfer · isolated temp dir · auto-purged in 2 h

Input formats

CSV, TSV, XLSX, XLS, JSON

Output formats

XLSX, JSON, PDF, HTML, TSV, CSV

Delimiter detection

Comma, semicolon, tab, pipe — auto-detected

Guide complet

CSV Conversion In-Depth: Delimiters, Encoding, Data Types, and the Gotchas Every Data Professional Should Know

CSV is the most widely used data interchange format — and also the most misunderstood. Despite its apparent simplicity, delimiter ambiguity, encoding issues, and data type inference make robust CSV handling genuinely challenging.

Delimiter Detection: Why It Matters

The "comma" in CSV is a misnomer — many CSV files use semicolons (common in Europe, where commas are used as decimal separators), tabs, pipes, or even unusual characters like the caret (^). Incorrect delimiter detection causes all data to appear in a single column. EasyConv uses a heuristic that counts candidate delimiter characters per line and selects the one with the most consistent count across rows. A custom delimiter option is available for exotic formats.

Character Encoding and BOM

CSV files can be encoded in UTF-8, UTF-16, Latin-1, or Windows-1252. The wrong encoding causes mojibake — garbled characters where accented letters, currency symbols, or non-Latin scripts should be. We auto-detect encoding using the chardet library and re-encode output as UTF-8. XLSX output includes a UTF-8 BOM (byte order mark) because Excel on Windows requires it to correctly display UTF-8 CSV files when double-clicked — without the BOM, Excel defaults to the system code page.

CSV to JSON: Data Type Inference

When converting CSV to JSON, raw string values need to be mapped to JSON types. We apply type inference: strings that look like integers (e.g. 42) become JSON numbers; strings matching ISO 8601 date patterns (e.g. 2024-03-15) become strings in the JSON (since JSON has no native date type); true and false (case-insensitive) become JSON booleans; empty cells become null. Everything else is a string. Type inference can be disabled via the "String types only" option.

Multi-Line Fields and Quoting Rules

RFC 4180 defines the standard for CSV quoting: fields containing the delimiter, double quotes, or newline characters must be enclosed in double quotes. Double quotes within a field are escaped by doubling them (""). A field containing a newline is valid and results in a multi-line CSV row. Our parser handles all of these edge cases correctly, including files that mix quoted and unquoted fields within the same file.

CSV to PDF: Rendering Tabular Data

To render a CSV as a PDF table, we first load the data into a LibreOffice Calc sheet and then use GhostScript to produce a print-quality PDF. Column widths are auto-sized to the widest value in each column. Headers are bolded. The table is paginated with headers repeated on each page for readability in multi-page reports. Very wide tables (many columns) are rendered in landscape orientation automatically when they would not fit in portrait at a readable font size.