Text Bench

Tesseract OCR is primarily trained on printed and typed fonts. While it might pick up some very neat handwriting, it works best with clear, standard typography.

No. Mergio runs the OCR engine locally via WebAssembly, meaning your images remain securely on your device.

This means your PDF is likely a scanned image rather than a digitally created document. To extract text from a scanned PDF, convert the pages to images first, then use our Image to Text (OCR) tool.

No, this tool specifically strips away formatting to provide raw, unstyled text. It extracts words in the order they are encoded in the PDF.

Currently, the tool uses a standard Helvetica font at 12pt with uniform margins for quick, reliable conversions. We focus on speed and compatibility.

It handles standard ASCII and common Latin characters. Highly specialized unicode symbols might be stripped or replaced by spaces to maintain PDF compatibility.

No, this tool converts plain text. Since plain text contains no formatting metadata, the resulting Word document will contain unformatted paragraphs.

You don't need Word to create the file—Mergio generates the DOCX structure independently. However, you will need a compatible word processor to open the final file.

Yes! It generates a complete HTML5 skeleton, including the DOCTYPE, head, and body tags, with your text wrapped in paragraph elements.

The tool treats empty lines as paragraph boundaries, wrapping blocks of text in separate <p> tags for semantic structure.

No, because plain text lacks reliable semantic markers, the tool focuses on ensuring clean paragraph separation that conforms to Markdown standards.

While you can just rename a file, this tool actively parses and normalizes double line breaks, ensuring strict compatibility with Markdown parsers that require specific spacing.

The parser handles standard headings (H1-H3), blockquotes, bold, italics, images, and standard hyperlink structures.

The output is pure, semantic HTML without any embedded CSS styles. This makes it a perfect clean slate to drop into your existing web projects.

No, this tool specifically converts the text content of your Markdown file. Image links and formatting syntax are stripped away to produce a clean text-based PDF.

To ensure maximum compatibility and speed via PDF-lib, the tool currently renders all text in a standard, unstyled font, removing the markdown asterisks in the process.

The counter uses regular expressions to identify discrete blocks of alphanumeric characters surrounded by word boundaries (spaces or punctuation).

Estimated reading time is calculated by dividing the total word count by an average reading speed of 200 words per minute, rounded up to the nearest whole minute.

Yes, in the 'Total Characters' metric, whitespace characters including line breaks and tabs are counted. The 'Characters (no spaces)' metric ignores them.

This granular breakdown is often utilized in linguistics, cryptography, or when creating specific types of puzzles and word games.

Sentence Case capitalizes the very first letter of the document and any letter that immediately follows a period, exclamation mark, or question mark.

Currently, the Title Case option capitalizes the first letter of *every* word, which is useful for data uniformity but may require manual tweaking for strict editorial style guides.

Yes. The tool keeps the first instance of a line and removes any subsequent identical lines, maintaining the general flow of your document.

Yes. A line reading "apple" and a line reading "Apple" are treated as distinct entries and neither will be removed.

No, to prevent accidental formatting errors for standard users, the tool treats your input as literal text and automatically escapes regex control characters.

Yes. If you find "cat" and replace it with "dog", a word like "category" will become "dogegory". Use descriptive find strings to avoid unintended replacements.

If the file contains syntax errors and cannot be parsed, the tool will simply return the original text without formatting it.

No, the formatter preserves the original order of the keys in your JSON object, altering only the whitespace for readability.

No, minification only affects structural whitespace (spaces, tabs, and newlines outside of string values). The actual data remains exactly the same.

Minification isn't for humans; it's for computers. A minified file takes up less disk space and transfers faster over the internet, which is critical for high-performance applications.

The formatter applies visual structure based on opening and closing tags, but it is not a strict validator. It will format well-formed XML accurately.

Yes, the algorithm recognizes self-closing tags and prevents them from incrementing the indentation level for subsequent lines.

Yes! The tool explicitly relies on the very first row of your CSV file to act as the keys for the generated JSON objects.

Empty fields in the CSV will be mapped as empty strings in the resulting JSON file, preserving the structure of the data.

This tool is designed for flat JSON structures. If your data contains deeply nested objects or arrays, they will be converted to string representations, so flatten your data first if possible.

The tool automatically detects fields containing commas, quotes, or newlines and wraps those specific values in double quotes, conforming to standard CSV specifications.

No. Base64 is merely a data format translation to ensure data integrity during transmission. It provides zero security and can be easily decoded by anyone.

Yes, Base64 encoding generally increases the size of the original data by about 33%, due to how it maps 3 bytes of data into 4 ASCII characters.

Because the decoder doesn't know what type of file was originally encoded (text, image, zip), it outputs a raw binary stream. You can simply rename the extension if you know what it should be.

If the input contains invalid characters not found in the Base64 index, the decoding process will fail and return an empty file.

It uses standard encodeURIComponent, meaning it encodes almost all characters (including /, ?, and &) except for alphabetic, decimal digits, and - _ . ! ~ * ' ( ).

It is best used for the parameters (query strings) of a URL. Encoding an entire URL will break the protocol identifier.

No, it simply translates valid percent-encoded characters back to their standard text equivalents for readability.

If the string contains a malformed sequence, the decoder will gracefully handle the error and return the original text untouched.