Questions & Answers

To make flat text boxes fully editable, open your image or PDF page in ImgTextEditor and click the Remove Text & Extract button (represented by the magic wand icon ) in the top toolbar.

Our CoreML-accelerated local AI model will automatically:

• Locate and extract all text content from the page as distinct layout blocks.
• Erase the original flat text from the document.
• Seamlessly reconstruct the background textures and patterns behind the removed text.

Once processed, simply double-click any highlighted text block on the canvas to edit, format, or style the text directly. No external converters are required!

Open your flat PDF document in ImgTextEditor. Click the **Remove Text & Extract** command to process the document and create editable text blocks. Once you are satisfied with your edits in the app, select **File > Export as PPTX...** or press `⌘E`.

ImgTextEditor will export a fully formatted PowerPoint presentation where each slide contains:

• A high-resolution background image (with the original text removed).
• A layer of editable PowerPoint text boxes correctly placed on top of the background image.

This allows you to continue working on your presentation deck inside Microsoft PowerPoint with fully editable native text components.

To convert an image-based presentation (such as JPEG, PNG, or TIFF files) into editable text, import the image files by selecting **File > Open PDF/Image...** (`⇧⌘O`) or dragging them into the app. Select the pages and run **Remove Text & Extract**.

The app runs local Optical Character Recognition (OCR) to convert image pixels into layout-aware editable text blocks while generating a clean, text-free background. You can edit the text directly on the canvas or export the whole project as a native PowerPoint deck (`.pptx`) or searchable PDF.

ImgTextEditor includes a **Smart Upscale** feature. When you import a low-resolution image or PDF page, the app automatically detects the low DPI and prompts you to enhance it. You can also manually upscale any page at any time by selecting the page in the sidebar and clicking the **Upscale** button (the arrow-in-square icon ) in the toolbar.

This launches a dialog where you can choose to upscale to 150 DPI or 300 DPI, employing offline local machine learning models to sharpen text edges and clarify blurry visual structures.

Print-ready files require high resolution (at least 300 DPI) to prevent pixelation. In ImgTextEditor:

1. Import your scanned image or low-resolution page.
2. Use the **Upscale** feature to manually upscale the page to **300 DPI** utilizing local AI models.
3. Edit, replace, or clean any text as required.
4. Select **File > Export as PNG Image...** (`⌘I`) or **Export as JPEG Image...** (`⇧⌘I`).
5. Select **300 DPI** in the Export Resolution picker dialog.

The output will be a crisp, high-resolution file with vector-sharp text overlays overlaying the AI-reconstructed background, ready for professional printing.

No, never. Privacy is the core foundation of ImgTextEditor. All document processing—including text extraction, Optical Character Recognition (OCR), LaMa background inpainting, and PowerPoint exporting—happens 100% locally on your Mac.

The application works completely offline, and none of your sensitive documents, scanned images, or private data ever leave your device.

No. All AI models (such as the LaMa inpainter and DPI upscale models) are fully bundled inside the macOS application package. They execute directly on your local CPU and GPU via Apple's native CoreML framework. You can edit documents on flights, in secure offline workspaces, or anywhere without web connectivity.

Yes! Besides editing extracted text blocks, you can add new layout elements. Click the **Add Text Block** button (`t.square` icon) to place a new text box on the canvas, or click **Insert Image** (`photo.badge.plus` icon) to overlay external logos, graphics, or screenshots. You can drag, position, and resize these layers anywhere, using rulers and snapped guide lines for precise layout adjustments.

Traditional PDF editors only let you edit native text layers (failing on flattened or scanned documents) or run basic OCR that overlays invisible text (which doesn't let you clean up the underlying image). ImgTextEditor is unique because it combines OCR with **Background Inpainting**.

By erasing the original text pixels from the background layer and reconstructing the visual elements behind it (textures, gradients, etc.), ImgTextEditor gives you a clean canvas where you can edit text natively without awkward overlaps or visual clutter, while offering direct offline export to PowerPoint.

Yes, ImgTextEditor supports OCR and text extraction for multiple languages. To ensure the highest accuracy when processing documents in languages other than English:

1. Open the application Settings.
2. Select your target country/language to load the appropriate OCR dictionary.
3. Select the default font to be used for the target language.

Configuring these preferences allows the local AI engine to recognize characters accurately and map them to the correct fonts on the canvas during the Remove Text & Extract process.