Computer Vision AI Text Detection (OCR)
Frequent Questions
This text recongition tool is intended to demonstrate the asticaVision API's capabilities to read text and provide accurate OCR. It is capable of reading difficult text, including handwritten letters. Upload a photo or take a picture to try recognizing text online.
asticaVision - Computer Vision AI
asticaVision - Image Describing AI
This is a public preview of the asticaVision API. The image describing utility is intended to demonstrate the capabilities of the computer vision model.
It is capable of handling a variety of tasks including facial recognition, object detection and text recognition (OCR).
Note that the computer vision demo is available online for public access and as such it can experience additional delays and interruption unique from the developer API.
Vision AI - Model Version 2.5_full
asticaVision - Image Describing AI
The Web UI has been updated to demonstrate upcoming asticaVision model 2.5_full which provides complete backwards compatibility.
New Capabilities:
- Detect custom objects by supplying a list of keywords. Used to add additional context to Vision Chat AI, or to export bounding boxes for training custom vision models.
- Number of generated image tags has been increased.
- Increased consistency and accuracy of image descriptions.
- Incorporated OCR text recognition into image description for improved accuracy and WCAG compatible ALT tagging.
- Additional image captions now include bounding boxes associated to point of interest.
- Object detection improved to recognize a wider range of items and with greater accuracy.
- Ability to detect the colors of specific objects including custom objects (e.g. "red car")
Additional changes to the Web UI include:
- Increased supported file-size of the Web UI from 2.5MB to 10MB.
- Free cloud storage of image results for viewing from any device.
- Support for additonal image formats including jiff and bmp.
- Improved CSV and JSON exporting includes custom object annotations.
- Improved networking and response time of image description results.
- It is no longer necessary to keep the web page open while processing a large number of images or directories after uploading is completed.
The previous version of the Web UI will remain online. Previous image submissions are stored locally on your device and can be accessed by using the legacy version.
Use the Old Version:
Go to Legacy 2.0 Web UIPoint of Interest
asticaVision - Interactive Conversation
Refresh Chat Tokens
The interactive image conversation function is available for preview purposes. Chat tokens will be used for each message sent. Please get in touch if you require additional chat tokens during experimental preview.
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Image to Text AI
asticaVision provides an extremely detailed description for any image. You can upload an image to be described by AI, or take a photo using your camera.
This interface is intended to demonstrate the computer vision capabilities of asticaVision. It demonstrates an excellent ability to describe images, typically with only the occasional discrepancy.
Detects environments, clothing and more.
The image descriptions provided by asticaVision incorporate all points of interest. This can includes animals and pets, or objects like a cellphone or necklace.
The image ai will use all available information from the photo to provide an extremely detailed descriptions. On average, the ai will provide over 120 words per description of each image.
Developers can integrate asticaVision text detection into their project using the developer API. Unlock new possibilities in your project with Vision AI.
View DocumentationOptical Character Recognition, or OCR, allows computer vision to convert text present within images or scanned documents into machine-readable and searchable text. This remarkable innovation has revolutionized the way we interact with, store, and manage large volumes of textual data. With a wide variety of applications, including document digitization, data extraction, and accessibility improvements, OCR has become an indispensable tool in today's digital age.
Computer vision models such as asticaVision are the enabling force behind OCR technology. It allows computers to perceive, understand, and process visual information in the form of images or videos, just like a human would. To perform OCR, computer vision algorithms scan the given image and identify textual components such as characters, words, and sentences. Advanced pattern recognition techniques are employed to analyze the shapes and structures of these textual elements, eventually mapping them to corresponding digital representations. As a result, OCR systems can not only detect text but also transcribe it, making it both editable and searchable.
The text recognition abilities of asticaVision goes beyond traditional approaches by leveraging the profound capabilities of machine learning and deep learning to enhance the accuracy and efficiency of text recognition. By training the models on vast datasets comprising various fonts, languages, styles, and layouts, the AI-based OCR system becomes proficient in deciphering even the most complex text formats. This significantly reduces errors and produces more precise results, enabling users to extract textual content from images effortlessly.
The text-reading abilities of asticaVision can handle a wide range of image qualities and types, including handwriten, low-resolution, skewed, or noisy images, which is a significant challenge for conventional OCR methods. By analyzing the context and refining its understanding of image structures, the AI system can successfully recognize and interpret text regardless of these imperfections. Additionally, it continually evolves and improves through continuous learning from new data, ensuring an ever-improving OCR experience for users.
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