Online Document Analyzer

Files are processed locally in your browser and never uploaded to any server.

Drop a file here

TXT · DOCX · RTF · HTML · Markdown

Pending
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Characters (with spaces)
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Lines
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Headings
Links
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Code blocks

Extracted text

Drop a file here

TXT · MD · DOCX · RTF

Pending

Document structure statistics

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Paragraphs
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Headings
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Tables
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Nested tables
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Images
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Characters (with spaces)
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Characters (no whitespace)
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Words
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Lines
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Blank lines
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CJK characters
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English words
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Digits
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Reading time (min)
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Plain chars (markup stripped)

Counting rules: paragraphs are split by blank lines; line count includes blank ones; words = English words + CJK characters; Markdown structure is counted from the source text (fenced code blocks excluded), plain char count is an estimate after stripping markup; reading time estimated at ~400 chars/min.

Counting rules: paragraphs are counted as body structure nodes, not visual lines; headings are identified by outline level styles; tables include nested ones, listed separately; images are counted by unique relationship references; words = Latin words + CJK characters.

Document properties

Title-
Subject-
Author-
Last modified by-
Created-
Modified-
Application-
Pages (as reported)-

Online Document Analyzer: Batch Text Extraction, Word Counts, and Document Structure Analysis

Online Document Analyzer

This online document analyzer extracts text, counts words and characters, and examines common document structures. It supports selecting and processing multiple files in batches, making it easier to organize research papers, reports, reference materials, and other text content. Each format uses an appropriate parsing method, and statistics reflect the content actually recognized by the tool.

Supported File Formats

  • TXT: Reads plain text and reports statistics such as character count, non-whitespace character count, line count, blank lines, paragraphs, and Chinese and English text counts.
  • Markdown (.md, .markdown): Analyzes text and identifies common structures such as headings, lists, blockquotes, code blocks, links, images, and tables.
  • DOCX: Extracts Word document text, analyzes identifiable paragraphs, headings, tables, images, and character counts, and reads selected document properties when available.
  • RTF: Parses text from Rich Text Format documents and provides general text statistics.
  • HTML and HTM: Extracts text from web documents in text extraction mode, with an option to determine whether link information is retained.

Batch Document Processing

Select multiple supported files at once or add them using the available drag-and-drop interface to reduce repetitive work. During batch processing, review each file's status, result, and error messages. If a file has an invalid format, corrupted content, or cannot be parsed, evaluate that file separately based on its processing result rather than treating it as successful.

Text extraction mode is suitable for collecting the body text from multiple files and copying or exporting the extracted content when needed. Structure analysis mode helps you inspect word counts, text statistics, and recognizable document structures for individual files. Distinguish per-file statistics from aggregate totals to avoid mixing results from different documents.

Text Extraction and Export

Extraction mode converts document content into plain text for easier editing and organization. You can view and copy the extracted text or export it as a TXT file. Plain text does not preserve the original document's complete fonts, colors, pagination, image layout, or other visual styling. Keep the original files if you need to retain their formatting.

Character and Word Count Statistics

The tool can count characters, non-whitespace characters, words, lines, blank lines, paragraphs, Chinese characters, English words, digits, and estimated reading time. Tokenization rules differ by language, so Chinese character counts and English word counts use different counting methods. Reading time is an estimate and does not represent the actual time required to read a document.

Markdown Structure Analysis

In addition to general text statistics, Markdown analysis can identify heading levels, list items, blockquotes, fenced code blocks, links, images, and tables. Statistics calculated from the source text include Markdown markers, while character counts that exclude some markers estimate the readable content. These are different counting methods. For complex nesting, extended syntax, or malformed Markdown, results depend on what the tool recognizes.

DOCX Structure and Document Properties

DOCX analysis can count identifiable paragraphs, headings, tables, nested tables, images, characters, and words. It can also read available properties such as title, subject, author, creation date, modification date, application, and page count. Some properties may be missing or outdated. Results may also differ from Word's pagination, visual line counts, or built-in word count.

How to Use the Tool

  1. Select text extraction mode or document structure analysis mode.
  2. Select one or more supported files, or add files using the available drag-and-drop interface.
  3. Start processing and review each file's status, extracted text, or statistics.
  4. Copy text, export results, or organize statistics for individual files as needed.
  5. For files that cannot be parsed or produce unexpected results, check the file format, content integrity, and specific error messages.

Use Cases

  • Batch-extract text from research papers, reports, and reference documents.
  • Check character counts, line counts, and paragraph counts in TXT and Markdown files.
  • Analyze headings, code blocks, links, and table structures in Markdown documents.
  • Inspect identifiable paragraphs, headings, tables, images, and document properties in DOCX files.
  • Review multiple documents before submission, editing, or archiving.

Privacy and Processing Limitations

Files are processed locally in your browser without uploading them to the application server. File size, batch size, and parser capabilities may affect processing speed and supported content. Corrupted, encrypted, mismatched, or structurally complex files may fail to parse. Character counts and structure recognition may also differ from other applications. Verify important results against the original files.

Online Document Analysis and Batch Text Extraction

Batch-process TXT, Markdown, DOCX, and RTF files to extract text, count words, and analyze Markdown structures and recognizable DOCX document elements. HTML and HTM files can be used for text extraction.
  • Select and process multiple files in batches, with separate statuses and results for each file.
  • Extract text from or analyze TXT, Markdown, DOCX, and RTF files; HTML and HTM files support text extraction.
  • Count characters, non-whitespace characters, lines, paragraphs, Chinese characters, English words, and other text statistics.
  • Analyze Markdown headings, lists, blockquotes, code blocks, links, images, and tables.
  • Count identifiable paragraphs, headings, tables, images, and words in DOCX files and read selected document properties.
  • Copy extracted text and export TXT files; processing is local to your browser, and statistics should be checked against the source documents.
Ideal for batch document organization, text extraction, word-count checks, and reviewing common document structures. Statistics vary by file format and counting method. Confirm the counting criteria and verify important results against the original files before submission or archiving.
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