Software Alternatives, Accelerators & Startups

Apache Solr VS Docsumo

Compare Apache Solr VS Docsumo and see what are their differences

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Apache Solr logo Apache Solr

Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...

Docsumo logo Docsumo

Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
  • Apache Solr Landing page
    Landing page //
    2023-04-28
  • Docsumo Docsumo Homescreen
    Docsumo Homescreen //
    2025-03-05
  • Docsumo Docsumo Integrations Hub
    Docsumo Integrations Hub //
    2025-03-05
  • Docsumo Docsumo Dashboard
    Docsumo Dashboard //
    2025-03-05
  • Docsumo Docsumo AI Models Hub
    Docsumo AI Models Hub //
    2025-03-05

Docsumo is an intelligent document processing platform for financial services firms. Docsumo helps businesses and enterprises extract data from documents, analyze that data and detect document fraud.

Docsumoโ€™s technology reduces back-office costs by up to 70% and increases productivity by 50%. For every million documents processed by a bank at about $1 per document, DocSumo can directly save $700k. What differentiates Docsumo is that their technology can read non-standardised documents such as bank statements, invoices, pay stubs and contracts with over 99% accuracy and more than 95% straight-through processing.

Docsumo features include:-

โœ…Data Capture from forms, semi-structured and unstructured financial documents โœ…Pre-Trained API stack for loan application, insurance compliance, invoices, supply chain management, and Commercial Real Estate applications โœ…Review & edit tool that allows you to click on any text in a document to capture data without manual entry โœ…Out of the box API endpoint (accessible via Settings page) & option to download CSV โœ…Multiple learning mechanism to ensure maximum accuracy โœ…Simple pay as you go pricing โœ…Ability to customize fields from the frontend โœ…Define templates for recurring documents โœ…Self-train neural network on your dataset

Choose Docsumo, if you want to:- - Automate the document data extraction end-to-end - Efficiently scale your process and your business eliminating manual data entry - Reduce risk by validating data

Apache Solr

Pricing URL
-
$ Details
Platforms
-
Release Date
-

Docsumo

$ Details
paid Free Trial $500.0 / Monthly (Growth Plan | 3 Users | Pre-trained APIs for 3 document types)
Platforms
Web
Release Date
2019 October

Apache Solr features and specs

  • Scalability
    Apache Solr is highly scalable, capable of handling large amounts of data and numerous queries per second. It supports distributed search and indexing, which allows for horizontal scaling by adding more nodes.
  • Flexibility
    Solr provides flexible schema management, allowing for dynamic field definitions and easy handling of various data types. It supports a variety of search query types and can be customized to meet specific search requirements.
  • Rich Feature Set
    Solr comes with a wealth of features out-of-the-box, including faceted search, result highlighting, multi-index search, and advanced filtering capabilities. It also offers robust analytics and joins support.
  • Community and Documentation
    Being an open-source project, Apache Solr has a strong community and comprehensive documentation, which ensures continuous improvements, updates, and extensive support resources for developers.
  • Integrations
    Solr integrates well with a variety of databases and data sources, and it provides REST-like APIs for ease of integration with other applications. It also has strong support for popular programming languages like Java, Python, and Ruby.
  • Performance
    Solr is built on top of Apache Lucene, which provides high performance for searching and indexing. It is optimized for speed and can handle rapid data ingestion and real-time indexing.

Possible disadvantages of Apache Solr

  • Complexity
    The initial setup and configuration of Apache Solr can be complex, particularly for those not already familiar with search engines and indexing concepts. Managing a distributed Solr installation also requires considerable expertise.
  • Resource Intensive
    Running Solr, especially for large datasets, can be resource-intensive in terms of both memory and CPU. It requires careful tuning and adequate hardware to maintain performance.
  • Learning Curve
    The learning curve for Apache Solr can be steep due to its extensive feature set and the complexity of its configuration options. New users may find it challenging to get up to speed quickly.
  • Consistency Issues
    In distributed setups, ensuring data consistency can be challenging, particularly for users unfamiliar with managing clustered environments. There may be delays or issues with synchronizing indexes across multiple nodes.
  • Maintenance
    Ongoing maintenance of a Solr instance, including monitoring, tuning, and scaling, can be labor-intensive. This requires dedicated effort to keep the system running efficiently over time.
  • Limited Real-time Capabilities
    Although Solr provides near real-time indexing, it may not be as effective as some specialized real-time search engines. For applications requiring truly real-time capabilities, additional solutions might be necessary.

Docsumo features and specs

  • Automated Data Extraction
    Docsumo automates data extraction from various documents including invoices, receipts, and forms, reducing the need for manual data entry and minimizing human error.
  • Advanced AI and Machine Learning
    Utilizes cutting-edge AI and machine learning algorithms to accurately capture and interpret complex data from documents, ensuring high accuracy.
  • Customizable Workflows
    Offers customizable workflows that can be tailored to specific business needs, allowing for flexibility in data processing and integration with other business systems.
  • Integration Capabilities
    Integrates seamlessly with various popular platforms such as QuickBooks, Zapier, and other API services, enhancing its utility and ease of use within existing business ecosystems.
  • User-Friendly Interface
    Boasts an intuitive and easy-to-use interface, making it accessible for users without extensive technical knowledge.
  • Scalability
    Capable of handling large volumes of documents, making it suitable for both small businesses and large enterprises.

Possible disadvantages of Docsumo

  • Pricing
    Docsumo can be relatively expensive for small businesses or startups, especially if they have a high volume of documents to process.
  • Learning Curve
    Despite having a user-friendly interface, the initial setup and customization of workflows may require some time and effort to fully understand and utilize.
  • Limited Offline Functionality
    Docsumo primarily operates as a cloud-based solution, which means limited to no functionality without an internet connection.
  • Data Privacy Concerns
    As with any cloud-based platform, there are inherent concerns around data privacy and security, which might be a critical consideration for some businesses.
  • Dependency on OCR Accuracy
    The effectiveness of data extraction is heavily reliant on the OCR (optical character recognition) technology, which might occasionally fail with poorly scanned or low-quality documents.

Analysis of Apache Solr

Overall verdict

  • Yes, Apache Solr is generally considered a good option for organizations seeking a reliable, scalable, and flexible search platform. It offers extensive features and is supported by a strong community, making it a solid choice for many use cases.

Why this product is good

  • Apache Solr is highly regarded for its robust full-text search capabilities, scalability, and ease of integration. As an open-source search platform, it is built on Apache Lucene and provides powerful distributed search and indexing, replication, load-balanced querying, and automated failover and recovery. Solr is designed to handle large volumes of data efficiently and supports various data formats with powerful data management features.

Recommended for

    Apache Solr is recommended for organizations that need to implement powerful search capabilities, especially those managing large, complex datasets. It is ideal for businesses that require full-text search features, e-commerce sites, content management systems, and big data applications that demand high query performance and scalability.

Analysis of Docsumo

Overall verdict

  • Overall, Docsumo is a worthwhile investment for businesses seeking an automated document processing solution. It offers robust features and reliable performance, which can streamline operations and enhance productivity.

Why this product is good

  • Docsumo is considered a good option due to its advanced capabilities in automating document processing with AI and machine learning. It efficiently handles tasks like data extraction, validation, and classification from invoices, receipts, and various other business documents. It's particularly praised for its ease of integration, accuracy, and support for multiple languages, which can save businesses significant time and reduce manual errors in data entry processes.

Recommended for

  • Businesses looking to automate document workflows
  • Companies handling a large volume of invoices and receipts
  • Organizations interested in reducing manual data entry errors
  • Enterprises needing multi-language document processing capabilities

Apache Solr videos

Solr Index - Learn about Inverted Indexes and Apache Solr Indexing

More videos:

  • Review - Solr Web Crawl - Crawl Websites and Search in Apache Solr

Docsumo videos

How ClearOne Advantage Scaled 2X with Docsumo's Document Automation | Customer Success Story

More videos:

  • Tutorial - Process Bank Statements Inside Salesforce | Docsumo <> Salesforce Connector
  • Tutorial - Process ANY Complex Document Within Seconds in Docsumo

Category Popularity

0-100% (relative to Apache Solr and Docsumo)
Custom Search Engine
100 100%
0% 0
Data Extraction
0 0%
100% 100
Custom Search
100 100%
0% 0
AI
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Solr and Docsumo

Apache Solr Reviews

Top 10 Site Search Software Tools & Plugins for 2022
Apache Solr is optimized to handle high-volume traffic and is easy to scale up or down depending on your changing needs. The near real-time indexing capabilities ensure that your content remains fresh and search results are always relevant and updated. For more advanced customization, Apache Solr boasts extensible plug-in architecture so you can easily plug in index and...
5 Open-Source Search Engines For your Website
Apache Solr is the popular, blazing-fast, open-source enterprise search platform built on Apache Lucene. Solr is a standalone search server with a REST-like API. You can put documents in it (called "indexing") via JSON, XML, CSV, or binary over HTTP. You query it via HTTP GET and receive JSON, XML, CSV, or binary results.
Source: vishnuch.tech
Elasticsearch vs. Solr vs. Sphinx: Best Open Source Search Platform Comparison
Solr is not as quick as Elasticsearch and works best for static data (that does not require frequent changing). The reason is due to caches. In Solr, the caches are global, which means that, when even the slightest change happens in the cache, all indexing demands a refresh. This is usually a time-consuming process. In Elastic, on the other hand, the refreshing is made by...
Source: greenice.net
Algolia Review โ€“ A Hosted Search API Reviewed
If youโ€™re not 100% satisfied with Algolia, there are always alternative methods to accomplish similar results, such as Solr (open-source & self-hosted) or ElasticSearch (open-source or hosted). Both of these are built on Apache Lucene, and their search syntax is very similar. Amazon Elasticsearch Service provides a fully managed Elasticsearch service which makes it easy to...
Source: getstream.io

Docsumo Reviews

Best Bank Statement Converters (2026): A Professional Comparison for Accountants & Bookkeepers
Docsumo note: We included Docsumo in the comparison using public evidence, but excluded it from hands-on testing because it requires an enterprise email for signup and itโ€™s positioned as an enterprise Document AI platform rather than a lightweight statement converter.
Best Income Verification Software in the UK: Top 10
Docsumo is an AI-powered document processing software that automates income verification by extracting data from payslips, bank statements, and tax records. It is widely used by financial institutions, lenders, and mortgage providers looking to speed up manual verification processes.

Social recommendations and mentions

Based on our record, Apache Solr should be more popular than Docsumo. It has been mentiond 19 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.

Apache Solr mentions (19)

  • List of 45 databases in the world
    Solrโ€Šโ€”โ€ŠOpen-source search platform built on Apache Lucene. - Source: dev.to / about 2 years ago
  • Considerations for Unicode and Searching
    I want to spend the brunt of this article talking about how to do this in Postgres, partly because it's a little more difficult there. But let me start in Apache Solr, which is where I first worked on these issues. - Source: dev.to / about 2 years ago
  • Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need ๐ŸŒŒ
    Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / almost 3 years ago
  • Looking for software
    Apache Solr can be used to index and search text-based documents. It supports a wide range of file formats including PDFs, Microsoft Office documents, and plain text files. https://solr.apache.org/. Source: about 3 years ago
  • 'google-like' search engine for files on my NAS
    If so, then https://solr.apache.org/ can be a solution, though there's a bit of setup involved. Oh yea, you get to write your own "search interface" too which would end up calling solr's api to find stuff. Source: over 3 years ago
View more

Docsumo mentions (2)

  • Docsumo Nepal
    Aayush here from Docsumo.com, we are a Document AI platform that empowers tech & ops teams to scale operations effortlessly by capturing, validating & analyzing unstructured documents. We recently raised $3.5 Million from Marquee investors. Source: over 3 years ago
  • Opportunity for data scientists
    Check out our website https://docsumo.com/ and blog https://docsumo.com/blog for more details. Source: almost 4 years ago

What are some alternatives?

When comparing Apache Solr and Docsumo, you can also consider the following products

ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.

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.

Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.

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

Swiftype - The simplest way to add search to your website or application. Sign up for free.

Rossum - Rossum is AI-powered, cloud-based invoice data capture service that speeds up invoice processing 6x, with up to 98% accuracy. It can be easily customized, integrated and scaled according to your company needs.