Image to Base64 Plus vs Vision Detector

Image to Base64 is a flexible and easy-to-use Base64 image encoder. It allows you to convert an image to Base64 or decode a Base64 string back into an image effortlessly. Features: ∙ Convert images to Base64 with ease. ∙ Copy the Base64-encoded string for use in other applications. ∙ Convert Base64 strings back into images effortlessly. ∙ Save the converted image directly to your camera roll. ∙ Works seamlessly on both iPhone and iPad. ∙ Lightweight, compact app optimized for everyday use. ∙ Ad-free and built with privacy in mind. About Base64 Base64 encoding is used to embed image data in formats such as HTML, CSS, and JSON. Since the image is included directly in the content, the browser does not need to make a separate request to fetch the file. However, Base64-encoded images are larger than standalone image files, and for large images, the encoded string can be quite long. It is recommended to use Base64 primarily for small images and compare the performance of embedded vs. external images. Base64 encoding generates characters from a set that includes Latin letters, numerals, plus, and slash. It is widely used in Multipurpose Internet Mail Extensions (MIME) for email transport encoding. Why Use Base64 Encoding? Base64-encoded images can be embedded in img tags or CSS, reducing load times for small images by eliminating additional HTTP requests. This technique is useful for: Creating single-file mockups or demo HTML pages. Embedding images in HTML email signatures to avoid "display images" warnings. How to Convert an Image to Base64: 1. Tap Image to Base64. 2. Select the photo you want to convert. 3. Tap the Convert button. 4. The Base64 string is generated instantly. 5. Copy the Base64/HTML/CSS code by pressing the copy button. How to Convert Base64 to an Image: 1. Tap Base64 to Image. 2. Paste the Base64 code into the text field. 3. Tap the Convert button. 4. If the code is valid, an image preview will appear. 5. Save the image to your camera roll. The Base64 string is generated directly on your device using the Base64 algorithm—no data is sent to a server for conversion. Thank you for your support! Visit nitrio.com for more apps for your iOS devices.

Vision Detector is an AI image analysis tool that supports CoreML machine learning models, multi-modal Large Language Models, and on-device Apple Intelligence. Choose the mode that best fits your use case. You can choose one of the following image input sources: - Live video by built-in camera - Still image by the built-in camera - Photo Library - Files (iCloud, Google Drive, Dropbox, etc) For live video inputs, continuous inference is performed on the camera feed. However, the frame rate and other parameters depend on the device. # Notification Center Vision Detector can call Notification Center for predefined conditions. Broadcasting notifications send notification to your all Apple devices signed in with the same Apple Account. ## CoreML Mode Vision Detector locally executes CoreML models using Apple’s Vision framework. Before using this mode, prepare a machine learning model in the CoreML format (.mlmodel or .mlpackage) using Create ML. Import ML models via iClpoud or AirDrop. Vision Detector supports the following types of CoreML models: - Image classification - Object detection - Style transfer ## Vision LLM Mode Vision Detector can use multi-modal large language model (LLMs). Define what to do with prompt as following samples: - If the image is screen shot, answer the name software - Call notification when you see a cat - Count number of persons in the image, and notify when it changes ## Apple Intelligence mode Available with iOS 27 on selected devices (iPhone 17 Pro, iPhone Air, etc). The images are completely processed on your device locally with your prompt.