Image & PDF OCR with AI | V7 Text Scanner
Science & Technology
Introduction
In this article, we will delve into the functionality and capabilities of the V7 Data Platform's Text Scanner. This tool is specifically designed for scanning text from images, such as receipts and invoices, effectively allowing for easy data annotation and training for various AI models. With the V7 text scanner and OCR capabilities, users can efficiently manage data sets, label images, and create customized workflows that suit their particular needs.
Uploading Your Dataset
To begin, we need to create a new dataset. Users can simply navigate to the dataset creation section on the V7 platform. Here, you would type in a descriptive name for your dataset, for example, “receipt dataset,” and then hit “continue.”
The next step involves uploading images of receipts. The platform supports a simple drag-and-drop interface, making it user-friendly. Users can bring in multiple image files for processing. Once uploaded, you can choose to either create new classes or utilize existing ones to label the text present within the images.
Setting Up the Workflow
After your dataset is ready, the next step is to create a customized workflow. V7 allows users to set up workflows from scratch. You can start by connecting your dataset to the workflow and then introducing the text scanning model to facilitate the automatic labeling of data.
The AI model will be trained on images you've uploaded, allowing the software to auto-label similar images as they pass through the workflow. This works particularly well for tasks like boundary box detection. Users also have the option of reviewing the annotations produced by the model. In cases where the model's predictions aren’t satisfactory, manual adjustments can be made.
Utilizing the Text Scanner
Adding the text scanner into your workflow is straightforward. Once you select it, you can specify what type of text you wish to detect. In this scenario, we focus on detecting all text present in receipts. The text scanner can also be applied to other document types like invoices and various formats of PDFs.
A review stage can be implemented post-analysis to either confirm or reject the annotations made by the AI model. If any annotations are accepted, they are passed to a final dataset for export and further use.
Reviewing and Finalizing Annotations
Once the texts have been scanned and the model has made predictions, users can go through the annotated results. This review process allows for quick edits or deletions of any false positives detected by the text scanner.
Marking images as complete after reviewing results enables easier management of large datasets. The whole process allows for a streamlined approach, resulting in comprehensively annotated datasets within a reasonable timeframe.
Conclusion
The V7 Text Scanner offers a sophisticated solution for scanning and annotating text data from images and PDFs rapidly. Users can create customized workflows, conduct data annotation seamlessly, and even train AI models based on their labeled datasets. This tool is especially beneficial for organizations handling significant volumes of data requiring efficient processing and classification.
Keyword
- V7 Text Scanner
- OCR
- Text Detection
- Image Annotation
- Dataset Management
- Workflow Customization
- AI Training
FAQ
Q1: What is the V7 Text Scanner?
A1: The V7 Text Scanner is an AI-powered tool designed to scan and detect text in images and PDFs such as receipts and invoices.
Q2: How do I upload my data set?
A2: You can upload your dataset by navigating to the dataset creation section and using the drag-and-drop interface to add your images.
Q3: Can I create custom workflows?
A3: Yes, V7 allows you to create customized workflows tailored to your specific needs.
Q4: What happens after I scan and label the text?
A4: After scanning and labeling, you go through a review process to accept or reject the annotations made by the AI model before finalizing your dataset.
Q5: Is the text scanner only for receipts?
A5: No, the text scanner can be utilized for various document types, including PDFs, invoices, and any other image files containing text.