> ## Content Index > Fetch the complete content index at: https://blog.unitlab.ai/llms.txt > Use this file to discover other available public pages before exploring further. # Invoice OCR Annotation with Unitlab AI [2026] - URL: https://blog.unitlab.ai/unitlab-ai-invoice-ocr-annotation/ - Published: 2024-11-28T13:32:09.000Z - Updated: 2026-08-24T13:00:06.000Z - Description: Automate your invoice extraction workflows with Unitlab Invoice OCR! Updated for 2026 with examples and demos. - Author: Hojiakbar Barotov - Tags: Data Annotation, Data Annotation Tools, Unitlab AI, Use Case, OCR ## Current Unitlab platform This article preserves its original educational or historical topic. Unitlab AI is now an enterprise multimodal data platform for curating, annotating, managing, versioning, reviewing, and preparing image, video, audio, text, document, medical, pathology, and geospatial training data. Interface screenshots below may reflect the product version available when the article was published. ![Current Unitlab AI multimodal data annotation platform](https://storage.ghost.io/c/48/f4/48f4b614-5c29-430d-9cb3-e0b3f34395f3/content/images/2026/08/unitlab-current-multimodal-platform.webp) Current Unitlab AI multimodal annotation workspace. [Explore the current multimodal platform](https://unitlab.ai/en/multimodal-annotation?ref=blog.unitlab.ai) or follow the [end-to-end quickstart](https://docs.unitlab.ai/documentation/get-started/end-to-end-quickstart?ref=blog.unitlab.ai). In our [previous post](https://blog.unitlab.ai/unitlab-ai-image-ocr-annotation/), we explored Image OCR tools that Unitlab AI offers. In this post, we will see how we can use Image OCR for one common task: invoices. [Image OCR Annotation With Unitlab AI | Full GuideExplore Image OCR types and use cases offered by Unitlab AI with a demo project. Updated for 2026.![](https://storage.ghost.io/c/48/f4/48f4b614-5c29-430d-9cb3-e0b3f34395f3/content/images/icon/652fe0711ca7a678ec836f1b_FavIcon-235.png)Unitlab BlogsHojiakbar Barotov![](https://storage.ghost.io/c/48/f4/48f4b614-5c29-430d-9cb3-e0b3f34395f3/content/images/thumbnail/OCR.png)](https://blog.unitlab.ai/unitlab-ai-image-ocr-annotation/) Image OCR Annotation | Unitlab AI Invoice OCR annotation is a special part of the image OCR annotation, specifically Fintech OCR annotation. Because we want to ensure that our AI-powered auto-labeling tools accurately pinpoint numbers, percentages, and currency symbols, we should use FIntech OCR, which is developed for these use cases. In this post, we will see how to set up your project to automate your workflows regarding Invoice OCR with batch and crop auto-annotation. 🎓 Read more about AI-powered [data annotation with Unitlab AI](https://blog.unitlab.ai/)! ## Project Creation To begin automating your Invoice OCR data annotation process, sign up for a free account on Unitlab AI and create a new project. During setup, select Image OCR as the annotation type and the Fintech OCR AI model as your annotation engine. ![Invoice OCR Project Creation | Unitlab AI](https://storage.ghost.io/c/48/f4/48f4b614-5c29-430d-9cb3-e0b3f34395f3/content/images/2024/12/image-0.webp) Invoice OCR Project Creation | Unitlab AI Fintech OCR is purpose-built for tasks requiring accurate data labeling, such as extracting totals, percentages, and vendor details from invoices. This data labeling tool significantly reduces manual effort and improves the precision of your dataset. When managing projects, Unitlab AI also supports AI dataset management features, ensuring you can track, version, and manage your AI datasets effectively. [Creating Your First Project at Unitlab AI PlatformA tutorial to create a data labeling project at Unitlab AI.![](https://storage.ghost.io/c/48/f4/48f4b614-5c29-430d-9cb3-e0b3f34395f3/content/images/icon/652fe0711ca7a678ec836f1b_FavIcon-236.png)Unitlab BlogsHojiakbar Barotov![](https://storage.ghost.io/c/48/f4/48f4b614-5c29-430d-9cb3-e0b3f34395f3/content/images/thumbnail/Project-4.png)](https://blog.unitlab.ai/unitlab-ai-project-setup/) Project Creation | Unitlab AI ## Use Batch Auto-Annotation Manual image labeling for invoices, although accurate and of high quality, can be a tedious and time-consuming task, especially for large-scale projects. Unitlab AI’s data auto-annotation feature, specifically batch auto-annotation, solves this challenge by enabling automatic annotation of multiple invoices simultaneously with its pre-trained AI models. 0:00 /0:15 1× Batch Auto-annotation for Invoice OCR | Unitlab AI Batch auto-annotation leverages the power of Fintech OCR’s auto-labeling tools to process large datasets efficiently. This image labeling solution ensures consistent and accurate results across your dataset, reducing manual intervention. [Try Yourself](https://app.unitlab.ai/register?ref=blog.unitlab.ai) ## Use Crop Auto-Annotation In cases where you only need to annotate specific parts of an invoice (such as totals, tax information, or specific line items) Unitlab AI’s crop auto-annotation is an invaluable feature. See it in action: Also, if your project requires very high accuracy, you can manually label the image after using crop or batch auto-annotation provided by Unitlab Accurate. The AI model in the project auto-annotates the image, and a human data labeler can manually review or correct the annotations. This hybrid approach ensures that you can automate Invoice OCR annotation while keeping the accuracy your project requires. See the demo: 0:00 /0:29 1× Crop Auto-annotation for Invoice OCR | Unitlab AI With crop auto-annotation, you can select specific areas of interest on the invoice, allowing the Fintech OCR model to apply data auto-labeling only within those areas. This focused approach ensures precise results while saving time and effort. 💡 Unitlab also offers other [advanced AI-powered](https://docs.unitlab.ai/auto-labeling/segment-anything-sam?ref=blog.unitlab.ai) auto-annotation tools! ## Integrate Your Custom AI While Unitlab’s Fintech OCR is an excellent image annotation solution, there may be cases where you need to use a custom model tailored to your specific needs. Unitlab AI allows seamless integration of custom AI models into its platform, enabling you to combine the capabilities of your data labeling service with your proprietary AI. By integrating your AI models, you can maintain control over specialized ML datasets and manage them with Unitlab’s dataset version control and AI dataset management tools. This flexibility ensures that your data annotation solution adapts to your unique requirements. [YOLOv8: Human Instance SegmentationAutomated Data Annotation for the Human Instance Segmentation Task using YOLOv8![](https://storage.ghost.io/c/48/f4/48f4b614-5c29-430d-9cb3-e0b3f34395f3/content/images/icon/652fe0711ca7a678ec836f1b_FavIcon-54.png)Unitlab BlogsShohrukh Bekmirzaev![](https://storage.ghost.io/c/48/f4/48f4b614-5c29-430d-9cb3-e0b3f34395f3/content/images/thumbnail/Screenshot-2024-02-28-at-14.27.04-2.png)](https://blog.unitlab.ai/yolov8-human-segmentation/) YOLOv8 Integration with Unitlab AI ## Conclusion Unitlab AI’s Fintech OCR model provides a powerful data annotation service for Invoice OCR. With advanced features like batch and crop auto-annotation, this data labeling tool simplifies workflows, improves efficiency, and ensures accuracy in image labeling tasks. Whether you need a robust image labeling service for large-scale invoices or a tailored data auto-labeling solution for specific needs, Unitlab AI delivers. Additionally, for those managing complex datasets, Unitlab supports comprehensive AI dataset management and dataset version control, helping you maintain organized and scalable workflows. Explore Unitlab AI today and discover how its auto-labeling tools can transform your Invoice OCR and data annotation processes [Discover Today](https://app.unitlab.ai/register?ref=blog.unitlab.ai) --- **Explore related Unitlab capabilities:** [PDF and document annotation](https://unitlab.ai/en/document-annotation?ref=blog.unitlab.ai), [image annotation for computer vision](https://unitlab.ai/en/image-annotation?ref=blog.unitlab.ai) and [enterprise data annotation workflows](https://unitlab.ai/en/data-annotation?ref=blog.unitlab.ai).