File Language Detector

A file language detector is a tool that analyzes text content to identify the natural language in which it is written. Using statistical analysis of character frequencies, n-gram patterns, and common word detection, the tool can distinguish between dozens of languages including English, Spanish, French, German, Chinese, Arabic, Russian, Japanese, Korean, and many more. It works on both pasted text and uploaded text files.

Our File Language Detector uses a multi-layered approach: First, it detects Unicode script ranges used in the text (Latin, Cyrillic, Arabic, CJK, Devanagari, Hebrew, Greek, etc.) to narrow down candidate languages. Then it analyzes character frequency patterns and n-gram sequences that are characteristic of specific languages. Finally, it checks for common words and grammatical markers unique to each language using curated stopword lists. The results are combined into a weighted confidence score for each detected language.

Our File Language Detector can identify 30+ languages including English, Spanish, French, German, Italian, Portuguese, Dutch, Russian, Ukrainian, Polish, Czech, Swedish, Danish, Norwegian, Finnish, Turkish, Arabic, Hebrew, Persian, Hindi, Bengali, Tamil, Telugu, Japanese, Chinese (Simplified and Traditional), Korean, Thai, Vietnamese, Indonesian, Malay, Greek, Romanian, and Hungarian.

Both options are available. You can paste text directly into the text area for quick language detection, or upload a text file (TXT, CSV, JSON, HTML, XML, MD, or any text-based file including source code) for analysis. The tool reads the file content using the browser File API and runs the detection algorithms on the extracted text. All processing is local - no uploads involved.

Absolutely. All language detection is performed entirely within your browser using JavaScript. Your text and files are never uploaded to any server - they are read locally and processed on your device. This ensures complete privacy and security, even when analyzing sensitive documents, confidential business communications, or personal files.

The confidence score ranges from 0% to 100% and indicates how certain the detector is about the identified language. Scores above 90% indicate high confidence, 70-90% is moderate but reliable, 50-70% suggests the text may be mixed-language or too short, and below 50% indicates the detector found limited evidence. Short texts under 50 characters naturally have lower confidence scores because there is less data to analyze.

The File Language Detector analyzes the overall text and identifies the primary language with the highest confidence. It also shows all candidate languages ranked by confidence. If the text contains significant portions in multiple languages, the primary language will have a lower confidence score, and the other detected languages will appear in the candidates list with their respective scores.

Script detection identifies the writing system used (Latin, Cyrillic, Arabic, CJK, etc.), while language detection identifies the specific natural language within that script. For example, both English and French use the Latin script, but they are different languages. Our tool first detects the script to narrow down candidates, then uses linguistic analysis to identify the specific language within that script family.

The File Language Detector supports any text-based file format including TXT, CSV, JSON, HTML, XML, MD, YAML, INI, LOG, and source code files (.js, .ts, .py, .java, .cpp, .rs, .go, .rb, .php, .sql, .swift, .kt, and more). Binary files (images, PDFs, archives) are not supported as they do not contain readable text content that can be analyzed.

Yes - 100% free, forever. No signup, no account, no premium tier, no usage limits, and no ads. Analyze as many documents as you need. All processing is done locally in your browser with no server interaction, making it both private and cost-free.