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File Chunk Analyzer

Upload any chunk-based file to analyze its internal structure chunk by chunk. The File Chunk Analyzer supports PNG images (with CRC-32 validation for every chunk), RIFF containers (WAV audio, AVI video, WebP images), JPEG photos (full marker segment analysis), and GIF animations (block-by-block parsing including extensions). See every chunk type, size, byte offset, and data interpretation at a glance - all processed locally in your browser with no signup required.

File Chunk Analyzer

Upload any chunk-based file (PNG, WAV, AVI, JPEG, GIF) to analyze its internal structure. Lists all chunks with type, size, offset, data payload and CRC information. All processing is done locally in your browser - no data uploads.

Drop a chunk-based file here or click to browse

PNG (.png) · WAV (.wav) · AVI (.avi) · WebP (.webp) · JPEG (.jpg, .jpeg) · GIF (.gif) — max 50 MB

How Chunk Analysis Works

The File Chunk Analyzer reads the raw binary data of your file and parses it according to the format specification. For PNG files, it reads each 4-byte length, 4-byte type, data payload, and CRC-32 checksum, then validates the CRC. ForRIFF files (WAV/AVI/WebP), it parses the nested chunk hierarchy with recursive LIST structures. For JPEG, it identifies marker segments by their 0xFF prefix. For GIF, it parses the block-based structure including extensions and color tables. All processing happens locally in your browser - no data is uploaded to any server.

Why Use Our File Chunk Analyzer?

Multi-Format Chunk Parsing

Supports four major chunk-based file formats with format-specific parsing engines. PNG files are parsed with full CRC-32 validation for every chunk. RIFF containers (WAV, AVI, WebP) are analyzed with recursive sub-chunk hierarchy and LIST structure detection. JPEG files are scanned for all standard marker segments from SOI to EOI. GIF files are parsed block-by-block including headers, color tables, image descriptors, extensions, and trailer. No need to install any software - just upload and analyze instantly.

CRC-32 Validation & Field Parsing

For PNG files, every chunk CRC-32 checksum is computed and validated against the stored value - mismatches are highlighted in red for quick identification of corrupted or modified chunks. Each chunk's data payload is parsed into human-readable fields with names, byte offsets, hex values, and plain-English interpretations. IHDR chunks show image dimensions, bit depth, and color type. PLTE chunks list palette sizes. tEXt and zTXt chunks display embedded text metadata like author, description, and creation software.

Hex Viewer with Chunk Breakdown

View the raw binary header of your file in a clean hex dump format with offset addresses, hex byte values, and ASCII interpretation in parallel columns. This gives you a complete picture of how the file is structured at the byte level, making it easy to understand the relationship between chunk boundaries and raw binary data. The hex dump is collapsible to keep the interface clean while providing full transparency into the analysis process.

100% Private Browser-Based Analysis

All file analysis happens entirely in your browser using the FileReader API and custom JavaScript parsers. Files are read locally and never uploaded to any server - your data stays completely private on your device. No signup, no account, no data collection, no usage limits. The tool processes files up to 50 MB and works offline after the initial page load. Your sensitive files (proprietary images, confidential audio, private photos) never leave your computer.

Common Use Cases for File Chunk Analyzer

Forensic Analysis & Tampering Detection

Security investigators can examine PNG files for evidence of tampering by validating CRC-32 checksums across all chunks. A CRC mismatch in an IDAT chunk may indicate that pixel data was modified after the file was created. Suspicious tEXt or iTXt chunks with embedded data can be identified and inspected. The chunk-by-chunk breakdown reveals the exact structure of the file, making it possible to spot anomalies that would be invisible to casual inspection.

Reverse Engineering File Formats

Developers and security researchers can use the File Chunk Analyzer to study how different file formats organize their data internally. Analyze PNG files to understand the relationship between IHDR metadata and IDAT compressed data streams. Examine WAV file fmt chunks to understand audio encoding parameters. Inspect AVI files to see how video and audio streams are interleaved. Deconstruct GIF animation structures to understand frame timing and disposal methods - all without writing a single line of parsing code.

Corrupted File Diagnosis & Recovery Assessment

When a PNG image, WAV audio file, or JPEG photo fails to open, the File Chunk Analyzer can help diagnose the issue. A missing IEND chunk, an invalid CRC in a critical chunk, or a truncated IDAT segment all produce specific error signatures that the tool can detect and display. This diagnostic capability helps determine whether a file can be repaired, which recovery tools to use, and whether the data is recoverable or permanently lost.

Metadata Extraction & Content Verification

Extract embedded metadata from chunk-based files without specialized software. PNG tEXt and zTXt chunks often contain author names, copyright notices, software descriptions, and creation timestamps. WAV LIST/INFO chunks store track titles, artists, and creation dates. JPEG APP1 (EXIF) segments contain camera settings and GPS coordinates. GIF comment extensions and application extensions provide insight into the file's origin and intended use - all visible and copyable with a few clicks.

Steganography & Hidden Data Investigation

Investigate files for steganographic payloads by examining chunk structure anomalies. Hidden data in PNG files is often stored in unused chunk types, oversized tEXt chunks, or appended after IEND. Extra JUNK chunks in RIFF files can conceal data. Abnormal GIF comment or application extension sizes may indicate embedded payloads. The chunk-by-chunk listing makes it easy to spot chunks that seem out of place, have unusual sizes, or contain unexpected data patterns.

Digital Forensics & Cybersecurity Education

Students and educators can use the File Chunk Analyzer as a hands-on learning tool for understanding binary file structures, data encoding, checksums, and container formats. The interactive chunk table with expandable field details makes abstract binary format concepts concrete and visible. It is ideal for teaching PNG chunk structure in computer graphics courses, WAV format layout in digital audio classes, JPEG compression in image processing curricula, and forensic file analysis in cybersecurity programs.

Understanding File Chunk Structures

What Are Chunk-Based File Formats?

Chunk-based file formats organize data into discrete, self-contained blocks called chunks. Each chunk typically has a header that specifies its type and size, followed by the data payload. This modular design makes it easy for applications to read specific parts of a file without parsing the entire thing - they can skip chunks they don't understand and process only the ones they need. Common chunk-based formats include PNG(Portable Network Graphics, which uses 4-byte type codes with CRC-32 checksums),RIFF (Resource Interchange File Format, used by WAV audio and AVI video, with recursive LIST chunks), JPEG (which uses 0xFF-prefixed marker segments), and GIF (with block-based structures including extensions and sub-blocks). Understanding chunk structures is essential for file forensics, data recovery, reverse engineering, and format compatibility analysis.

How Chunked Formats Differ by Type

  • PNG Format Structure: Every PNG file begins with an 8-byte signature (\x89PNG\r\n\x1a\n) followed by a sequence of chunks. Each chunk has a 4-byte length (big-endian), a 4-byte type code (e.g., IHDR, PLTE, IDAT, IEND), a data payload of the specified length, and a 4-byte CRC-32 checksum that covers the type code and data. The CRC-32 uses the ISO 3309 polynomial (0xEDB88320) and is computed over the chunk type + chunk data bytes. Critical chunks (IHDR, PLTE, IDAT, IEND) must appear in a specific order, while ancillary chunks (tEXt, gAMA, pHYs, etc.) can appear in any order between IHDR and IEND.
  • RIFF Format Structure: RIFF (Resource Interchange File Format) is a container format where everything is organized as chunks. A RIFF file starts with a "RIFF" ID followed by a 4-byte size (little-endian) and a 4-byte form type (e.g., "WAVE", "AVI ", "WEBP"). Sub-chunks follow with their own 4-byte IDs and sizes. The "LIST" chunk type can contain sub-chunks with a list identifier. Data is aligned to 2-byte boundaries with padding bytes as needed. WAV files primarily use fmt (format) and data chunks, while AVI files use hdrl (header list), strl (stream list), movi (movie data), and idx1 (index) chunks.
  • JPEG Marker Structure: JPEG files use marker segments identified by a 0xFF byte followed by a marker type byte. Each marker segment (except SOI 0xFFD8 and EOI 0xFFD9) has a 2-byte big-endian length field that includes the length bytes themselves but not the marker bytes. Key markers include SOF0 (Start of Frame with image dimensions), DQT (Define Quantization Table), DHT (Define Huffman Table), SOS (Start of Scan followed by entropy-coded data), APP0/APP1 (application data like JFIF headers and EXIF metadata), and COM (comment). The entropy-coded data after SOS continues until the next marker (0xFF followed by a non-zero byte).
  • GIF Block Structure: GIF files use a block-based structure starting with a 6-byte header ("GIF87a" or "GIF89a"), followed by a 7-byte Logical Screen Descriptor, an optional Global Color Table, and then a sequence of blocks. Image blocks start with 0x2C, extension blocks start with 0x21 (followed by a label byte), and the trailer is a single 0x3B byte. Sub-blocks within extensions use a size-byte format where each block starts with a byte indicating the number of data bytes that follow. GIF89a supports Graphic Control Extensions (0xF9) for animation timing and transparency, Comment Extensions (0xFE) for embedded text, Plain Text Extensions (0x01) for text overlays, and Application Extensions (0xFF) for custom data like Netscape looping information.

How to Interpret Chunk Analysis Results

  1. Format Detection & Summary Overview: The tool first reads the file signature (magic bytes) to determine which format parser to use - PNG, RIFF, JPEG, or GIF. The summary banner at the top shows the detected format name, total chunk count, total data size, and structural overhead. This gives you an immediate overview of the file's composition and complexity.
  2. Chunk List Navigation: The main chunk table lists every chunk found in the file, sorted by their byte offset. Each row shows the chunk type (with a color-coded badge), the descriptive name, the data payload size, and the byte offset location. Chunks with CRC validation (PNG) show a green checkmark for valid checksums or a red X for mismatches. Click any chunk row to expand it and view detailed field information with interpretations.
  3. Field-Level Detail View: Expanding a chunk reveals a detailed breakdown of all parsed fields within that chunk's data payload. Each field shows its name, byte offset within the chunk, length in bytes, parsed value, and a plain-English interpretation of what the value means. For example, expanding an IHDR chunk shows width, height, bit depth, color type, compression method, filter method, and interlace settings. Expanding a GIF GCE chunk shows disposal method, delay time, and transparency settings.
  4. CRC-32 Validation (PNG): PNG chunks include a 4-byte CRC-32 checksum at the end of each chunk. The tool recomputes this checksum from the chunk type and data bytes and compares it against the stored value. A valid CRC confirms the chunk data hasn't been modified since it was created. An invalid CRC indicates data corruption or intentional tampering. This is particularly useful for forensic analysis and file integrity verification.

Privacy, Limitations & Best Practices

Our File Chunk Analyzer processes everything locally in your browser. Files are read using the FileReader API and analyzed client-side using custom JavaScript parsers specifically written for PNG, RIFF, JPEG, and GIF formats. No data is ever uploaded to any server. The tool is 100% free with no signup, no account, and no usage limits.

Supported formats and their features: PNG files get full CRC-32 validation, field parsing for 20+ chunk types, and detailed IHDR/PLTE/tEXt/gAMA/pHYs/sRGB/ tIME analysis. RIFF files (WAV, AVI, WebP) get recursive LIST chunk parsing with fmt/data/avih/strh/strf field breakdown. JPEG files get marker-by-marker parsing with SOF0 dimension extraction, DQT/DHT analysis, APP0 JFIF header parsing, and COM comment extraction. GIF files get complete block parsing including color tables, GCE timing, comment/app extensions, and image descriptions.

Important limitations: The tool only supports the four formats listed. For other chunk-based formats (IFF, ILBM, AIFF, MIDI, FLAC, STL, 3MF), file header analysis is limited. Password-protected or encrypted files cannot be parsed. Very large files (over 50 MB) may take significant time to process. The tool performs structural analysis but does not decode compressed pixel data or audio samples - it analyzes the chunk structure and metadata only.

Best practices: Use this tool for quick structural inspection, CRC integrity checks, metadata extraction, and format education. For comprehensive analysis of encrypted, corrupted, or non-standard files, use dedicated forensic tools with more advanced recovery capabilities. Always verify critical findings with multiple analysis methods.

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Frequently Asked Questions About File Chunk Analyzer

A file chunk analyzer is a tool that reads chunk-based file formats and breaks them down into their individual structural components. It identifies each chunk by its type, displays its size and byte offset, parses its data payload into interpretable fields, and optionally validates checksums. This reveals the internal anatomy of files like PNG images, WAV audio, AVI video, JPEG photos, and GIF animations - showing you exactly how they are constructed at the binary level.

The File Chunk Analyzer supports four format families: (1) PNG (.png) - full chunk parsing with CRC-32 validation for IHDR, PLTE, IDAT, IEND, tEXt, zTXt, iTXt, gAMA, cHRM, sRGB, iCCP, pHYs, sBIT, tIME, bKGD, tRNS, and more. (2) RIFF (.wav, .avi, .webp) - recursive chunk hierarchy with LIST support for WAV format/fact/cue chunks and AVI header/stream/movie/index chunks. (3) JPEG (.jpg, .jpeg) - marker segment parsing for SOI, APP0/APP1, DQT, SOF0, DHT, SOS, COM, EOI, and restart markers. (4) GIF (.gif) - complete block parsing including headers, color tables, image descriptors, graphics control extensions, comment extensions, application extensions, and trailers.

Every PNG chunk includes a 4-byte CRC-32 (Cyclic Redundancy Check) checksum appended after the data payload. Our tool recomputes this checksum from the chunk type code (4 bytes) plus the chunk data bytes using the standard PNG CRC-32 algorithm (ISO 3309 polynomial 0xEDB88320). It then compares the computed checksum against the stored value. If they match, a green checkmark is shown. If they differ, a red indicator appears - this signals that the chunk data or type has been modified since the file was created, which may indicate corruption, tampering, or a malformed file.

No. The File Chunk Analyzer is designed for structural and metadata inspection only. For PNG files, it identifies IDAT chunks and reports their compressed size, but does not decompress the DEFLATE-compressed pixel data. For JPEG files, it identifies SOS markers and the entropy-coded data that follows, but does not decode the Huffman/arithmetic coded image data. For WAV files, it reads the fmt chunk parameters (sample rate, bit depth, channels) and reports data chunk sizes, but does not play or decode the audio. For GIF files, it identifies LZW-compressed image data blocks but does not decompress them. Use dedicated image/audio viewers to render the actual content.

The hex dump shows the first 256 bytes of your file in three columns: the left column shows the byte offset (address) in hexadecimal notation (e.g., 00000000 for the first byte), the middle column displays the raw hexadecimal byte values (two hex digits per byte, 16 bytes per row), and the right column shows the ASCII interpretation of those bytes - printable characters appear as themselves while non-printable bytes appear as dots. This classic hex dump format lets you visually inspect the file header, spot text strings embedded in the binary data, and understand the byte-level layout that may not be obvious from the chunk listing alone.

The chunk offset is the byte position in the file where that specific chunk begins, counted from the start of the file (offset 0). For example, a PNG IHDR chunk at offset 8 means it starts 8 bytes after the beginning of the file - right after the 8-byte PNG signature. The offset is displayed in hexadecimal notation (e.g., 0x0008). You can use these offsets to cross-reference with the hex dump display, locate specific chunks in a hex editor, or understand the spacing and ordering of chunks within the file.

Absolutely. All file analysis happens entirely within your browser using the FileReader API. Files are read locally - the entire file is loaded into browser memory but is never sent anywhere. No data is uploaded to any server, no network requests are made with your file data, and no third-party services are involved. Your files and analysis results stay completely private on your device. No signup, no account, no data collection, no analytics tracking of file contents. The tool even works offline after the initial page load.

Unknown chunks are chunks whose type code does not match any known chunk type in the tool's database. PNG files, for example, can contain registered private chunks (starting with a lowercase letter) or vendor-specific ancillary chunks that our parser hasn't catalogued. This does not necessarily mean the file is corrupted or suspicious - many applications embed custom data in private chunk types. The tool still shows the chunk's size, offset, and raw hex data, and it validates any CRC checksum. You can use the offset and data information to research the unknown chunk type online.

Key limitations include: (1) Only PNG, RIFF (WAV/AVI/WebP), JPEG, and GIF formats are supported. Other chunk-based formats like IFF, AIFF, MIDI, FLAC, and ILBM are not parsed. (2) Password-protected, encrypted, or obfuscated files cannot be analyzed - the chunk structure itself is hidden. (3) Very large files (over 50 MB) may take significant time to process and could cause browser memory issues. (4) Compressed data payloads (IDAT, SOS scan data, GIF LZW blocks) are identified but not decompressed or decoded. (5) The tool performs structural analysis but cannot detect all types of file manipulation - a file with valid CRC checksums can still have intentionally modified content within the data payload. (6) Severely corrupted files with invalid chunk structures may produce incomplete or inaccurate results.