Question 1

What’s the difference between a JPG file and a CSV file?

Accepted Answer

A JPG (or JPEG) is an image file format that stores photographs or graphics using lossy compression to reduce size. It’s ideal for visual content like photos, supports millions of colors, and is viewed in image editors, browsers, and photo apps—but it doesn’t store structured text data or spreadsheets.
A CSV (Comma-Separated Values) file is a plain-text format for tabular data, where each line is a row and values are separated by commas. It’s used for spreadsheets, databases, and data exchange, easily opened in Excel, Google Sheets, or text editors—but it can’t display images or visual layouts like a JPG.

Question 2

Will the converter extract tables or text accurately from my JPG?

Accepted Answer

Yes—our tool can extract text from JPGs using OCR, but accuracy depends on image quality. Clear, high-resolution images with good contrast and minimal noise yield the most reliable results. Blurry, low-light, skewed, or heavily compressed images may reduce recognition accuracy.
For tables, the converter attempts to detect structure (rows, columns, and cell boundaries). Simple, well-aligned tables with visible grid lines convert more accurately. Complex layouts, merged cells, or irregular spacing can lead to partial or flattened extraction.
To improve outcomes, use the sharpest image available, crop excess background, and ensure text or tables are upright. After conversion, review and correct the extracted text/table in your editor, especially for numbers, symbols, and column alignment.

Question 3

How do I improve OCR accuracy for low-quality or skewed images?

Accepted Answer

To boost OCR accuracy on low-quality or skewed images, start with strong preprocessing: deskew the image, crop to relevant regions, increase contrast, denoise, and apply binarization (e.g., Otsu). Ensure text is sufficiently large (target ~300 DPI), sharpen slightly, and correct perspective if captured at an angle. Normalize lighting with adaptive histogram equalization and remove borders or shadows that confuse recognition.
Next, optimize the OCR pipeline: specify the correct language and character set, choose an engine trained for the script, and set the expected page segmentation (single block, single line, etc.). If possible, provide a clean format (PNG/TIFF) instead of heavily compressed images, and split multi-column pages into regions. For complex cases, use deep-learning OCR models, apply spell-check or dictionary post-processing, and consider retraining or fine-tuning with samples similar to your documents.

Question 4

Can I convert multiple JPGs to one CSV or get separate CSV files?

Accepted Answer

Yes—you can upload multiple JPGs and choose whether to merge their extracted data into one CSV or download separate CSV files per image. If you select a single, combined export, we’ll compile all recognized content into one consolidated CSV with clear row distinctions. If you prefer per-file output, enable individual CSVs to receive a separate download for each JPG. After processing, use the download options to pick your preferred format.

Question 5

How is data like columns, headers, and delimiters handled in the CSV output?

Accepted Answer

Our CSV output follows standard conventions: it always includes a single header row with clearly named column headers, uses a consistent delimiter (comma by default), and properly escapes fields that contain commas, quotes, or line breaks by wrapping them in double quotes and doubling internal quotes; numeric and date values are preserved as plain text to avoid locale issues, UTF-8 encoding without BOM is applied for broad compatibility, and empty or missing data is represented as blank fields under the appropriate columns.

Question 6

Does the conversion keep the original layout and special characters?

Accepted Answer

Yes—our conversion aims to preserve the original layout, including image composition and positioning, and it retains special characters in file names and embedded text whenever the target format supports them; however, minor differences can occur due to format limitations or font substitutions, so we recommend using widely supported formats and standard fonts for the most accurate results.

Question 7

Is there a file size or resolution limit for JPG to CSV conversion?

Accepted Answer

Yes. Most online tools set a maximum file size for JPG uploads, commonly between 10–50 MB, to ensure fast processing and stable performance. Very large images may be rejected or take significantly longer to convert to CSV.
There’s also a practical resolution limit. Images above ~8–12 MP (e.g., 4000×3000) can strain OCR and table-detection steps, affecting speed and accuracy. If your image is huge, consider downsizing while keeping text sharp.
For best results, use high-quality JPGs with clear text or tables, avoid heavy compression, and keep dimensions reasonable. If you hit size or resolution limits, compress the image slightly, crop to the relevant area, or split multi-page content before conversion.

Question 8

What happens to my files after upload—are they secure and deleted?

Accepted Answer

Your files are transmitted over encrypted connections (HTTPS) and processed in an isolated environment. We do not access your content beyond what’s necessary to perform the conversion, and we never sell or share your files with third parties. Only you can download the output using your unique link.
Uploaded files and generated results are automatically deleted from our servers after a short retention window, or you can delete them immediately using the provided option. This ensures both privacy and data security once your conversion is complete.

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