Software Alternatives & Startups

Supervisely VS DocParser

Compare Supervisely VS DocParser and see what are their differences

Supervisely logo Supervisely

Supervisely helps people with and without machine learning expertise to create state-of-the-art...

DocParser logo DocParser

Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.
  • Supervisely Landing page
    Landing page //
    2023-08-06
  • DocParser Landing page
    Landing page //
    2023-10-10

Supervisely features and specs

  • Comprehensive Toolset
    Supervisely offers a wide range of tools for image annotation, data management, and deep learning model training, providing a one-stop solution for computer vision projects.
  • Collaborative Platform
    It supports team collaboration with features for sharing projects, annotating data, and reviewing work, making it easier for teams to work together.
  • High Customizability
    Supervisely allows users to create custom plugins and automation scripts, offering flexibility to tailor the platform according to specific project needs.
  • Extensive Dataset Support
    The platform supports a wide variety of data formats and types, including images, videos, and 3D data, making it versatile for different applications.
  • Integrated Machine Learning
    Supervisely integrates machine learning capabilities, enabling users to train models directly on the platform and test them using their own annotated data.

Possible disadvantages of Supervisely

  • Cost
    Supervisely can be expensive, particularly for small teams or individual users, as it primarily targets enterprise customers.
  • Complexity
    Due to the breadth of features and tools, there may be a steep learning curve for new users, making it more challenging to get started quickly without adequate training.
  • Performance Issues
    Some users may experience performance issues, particularly when handling very large datasets or running multiple simultaneous tasks.
  • Cloud Dependency
    While a cloud-based platform offers accessibility advantages, it also means that users are dependent on internet connectivity and may face latency or downtime problems.
  • Limited Offline Features
    Supervisely's offline functionality is limited, which can be a drawback for users who need to work in environments with restricted or unreliable internet access.

DocParser features and specs

  • Ease of Use
    DocParser provides an intuitive and user-friendly interface, making it accessible for users with varying technical expertise to set up parsing rules and extract data.
  • Customization
    Users can create highly customized parsing rules, allowing for precise data extraction tailored to specific needs and document structures.
  • Automation
    The tool supports automatic processing of documents through integrations with cloud storage services and APIs, improving workflow efficiency.
  • Integration Capabilities
    DocParser integrates with various third-party applications such as Salesforce, Zapier, and Google Drive, enabling seamless data transfer and workflow automation.
  • Data Accuracy
    The advanced parsing technology ensures high accuracy in data extraction, minimizing errors and reducing the need for manual correction.

Possible disadvantages of DocParser

  • Pricing
    The cost of DocParser can be relatively high for smaller businesses or infrequent users, potentially limiting accessibility for those with limited budgets.
  • Learning Curve
    While the interface is user-friendly, setting up complex parsing rules can still have a learning curve, requiring users to invest time in understanding the tool’s full capabilities.
  • Document Complexity
    Parsing highly complex or non-standardized documents might pose challenges, and achieving perfect results could require extensive rule adjustments.
  • Limited Offline Functionality
    DocParser relies heavily on internet connectivity for data processing and integrations, potentially limiting its usability in offline environments.
  • Support for Certain File Types
    Although DocParser supports a wide range of file formats, some less common file types may not be supported, which could be a limitation for certain users.

Analysis of Supervisely

Overall verdict

  • Overall, Supervisely is a good platform for computer vision projects due to its versatility and ease of use. It offers a complete ecosystem that caters to various stages of the machine learning pipeline, making it an efficient choice for both beginners and experienced practitioners.

Why this product is good

  • Supervisely is considered a robust platform for its comprehensive suite of tools designed for computer vision tasks. It provides capabilities for data labeling, neural network training, and deployment. Its user-friendly interface, collaborative features, and support for a wide range of formats and integrations make it appealing to both individual developers and enterprise teams.

Recommended for

  • Data scientists looking for a comprehensive tool for computer vision.
  • Companies needing a collaborative environment for AI projects.
  • Researchers who require a platform with extensive format support and integrations.
  • Developers wanting an easy-to-use interface for data annotation and model training.

Supervisely videos

🛠️Basic annotation overview - Supervisely

More videos:

  • Review - Cars annotation in Supervisely: Polygons vs. AI powered tool
  • Tutorial - Yolo v3 Tutorial #2 - Object Detection Training Part 1 - Create a Supervisely Cluster

DocParser videos

Extract Tables From PDF to Excel, CSV or Google Sheet with Docparser

More videos:

  • Review - PDF Forms and Contracts Data Extraction - Docparser Screencast #4
  • Review - PDF Data Extraction with Docparser PDF Parser

Category Popularity

0-100% (relative to Supervisely and DocParser)
Image Annotation
100 100%
0% 0
Data Extraction
0 0%
100% 100
Data Labeling
100 100%
0% 0
OCR
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, DocParser should be more popular than Supervisely. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Supervisely mentions (6)

  • Way to label yolov7 images fast
    Another annotation tool that integrates prediction and training within the application is supervisely supervisely.com., unfortunately it's pretty expensive unless you are satisfied with the community version. I saw that they have an integration for owl-vit, which might be helpful for annotation of animals. https://ecosystem.supervisely.com/apps/serve-owl-vit. Source: over 3 years ago
  • 65 Blog Posts to Learn Data Science
    Hello world. This tutorial is a gentle introduction to building modern text recognition system using deep learning in 15 minutes. It will teach you the main ideas of how to use Keras and Supervisely for this problem. This guide is for anyone who is interested in using Deep Learning for text recognition in images but has no idea where to start. - Source: dev.to / almost 4 years ago
  • Bounding Box for Text Annotation
    If they were videos, I would have suggested trying supervise.ly as it has a very good tracking functionality. Source: about 4 years ago
  • CVAT alternatives for video frame annotation
    Hi, I'm exactly in the same boat like you are. I looked around for a while and the better solutions I found was supervise.ly and CVAT for video annotation. The pricetag on supervisely is pretty high, so I analyzed CVAT for a couple days and was positively surprised. Source: about 4 years ago
  • Accessing 2022 Machine Learning Imagery from WPI's Photo Album
    Under the WPI Photo Ambum section of the page for FRC field photos (https://www.firstinspires.org/robotics/frc/playing-field#WPIPhotos), they have a section of machine learning imagery. However, this link goes to supervise.ly, the website they use for machine learning. I created an account to attempt to download the images, however, whenever I try to 'clone' the project, it stalls at 0% and gives me an error... Source: about 4 years ago
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DocParser mentions (14)

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What are some alternatives?

When comparing Supervisely and DocParser, you can also consider the following products

Labelbox - Build computer vision products for the real world

Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.

Universal Data Tool - Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset

Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.

CrowdFlower - Enterprise crowdsourcing for micro-tasks

Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.