HOW TO USE PARSEUR

Our team of experts spent considerable time delving into the capabilities of Parseur, an advanced data entry automation software. We rigorously tested its features to provide you with a comprehensive understanding of its potential benefits. Parseur is designed to revolutionize the way businesses handle document processing, promising increased productivity, improved data entry speed, and enhanced data quality while reducing costs.

Our team tested Parseur extensively to bring you an in-depth overview of this advanced data entry automation software. Created to simplify and streamline the document and data entry process for businesses, Parseur offers a range of features that cater to various documents automatically. From emails to PDFs, Google Sheets, and attachments, this AI-driven tool promises to extract the parsed data swiftly and accurately, converting it into structured formats for enhanced accessibility. Here's a detailed exploration of Parseur's key features based on our hands-on testing.

Parseur claims to be compatible with all email providers and formats, including text emails, rich text emails (HTML), and multipart MIME emails. During our testing, we integrated Parseur with multiple email providers to assess its compatibility and see if it can extract email data. Our team forwarded emails with diverse formats, and Parseur was able to extract text from emails, showcasing its adaptability to various email structures.

Parseur's PDF handling capabilities extend to both text-based and image-based PDFs, thanks to its robust Optical Character Recognition (OCR) engine. In our testing phase, we uploaded a variety of PDFs with different layouts and content types. Parseur consistently demonstrated high accuracy in extracting text from these PDFs, proving its efficiency in handling diverse document structures.

We examined Parseur's ability to parse and extract data from spreadsheets in various formats, including CSV, MS Excel, and other documents. Our team uploaded sample spreadsheets with different data structures, and Parseur effortlessly parsed the data, providing structured outputs. This feature proved particularly useful for businesses dealing with diverse spreadsheet formats in their data processing workflows.

In addition to parsing emails, Parseur claims to safely retrieve and parse email attachments, including zipped attachments. To validate this feature, we sent emails with attachments in different formats, including zipped files. Parseur successfully extracted data from the attachments, demonstrating its capability to handle a wide range of file types within emails.

Parseur's versatility extends to supporting various document formats, including .txt, .html, .rtf, .doc, .docx, and .xml. To evaluate this feature, we uploaded documents in different formats to assess Parseur's compatibility and accuracy. The tool consistently processed and extracted data from these documents, showcasing its flexibility in handling diverse file types.

Parseur boasts the ability to download and parse a web page from a URL within a document. During our testing, we provided Parseur with URLs of different web pages to evaluate its web page parsing capabilities. Parseur successfully retrieved and processed the relevant data from the web pages, offering a convenient way to integrate information from online sources into structured data feeds.

Parseur allows seamless integration with various third-party applications through platforms like Zapier, Power Automate, and Make. In our testing, we set up automated workflows, sending documents from Zapier-connected apps to Parseur. The integration worked smoothly, highlighting Parseur's compatibility with popular automation platforms and expanding its utility in diverse business ecosystems.

Parseur provides multiple ways to input documents, including manual upload and API integration. We tested the direct upload feature by manually uploading documents into the application. Additionally, we explored Parseur's API, sending documents in different formats (Text, HTML, binary) to assess its flexibility and efficiency in handling data from various sources.

Creating a new mailbox with Parseur is straightforward, offering pre-defined options or customized mailboxes tailored to specific needs. Our team followed the step-by-step process, creating mailboxes and activating the AI engine at both the mailbox and user levels. Parseur's intuitive interface made this process seamless, ensuring that users can easily set up and configure mailboxes according to their requirements.

Once a sample document is uploaded, Parseur analyzes it, and if no default fields are present, users can create custom fields. During our testing, we uploaded sample documents and configured fields to extract specific information. Parseur's interface allowed us to create simple fields and table fields for extracting repeating data, providing flexibility in tailoring the extraction process to meet specific data requirements.

After configuring extraction fields, we initiated the AI-driven data extraction process. Parseur's machine learning algorithms analyzed the documents, and the tool automatically started the extraction process for predefined fields or those configured by the user. Our results consistently showed high accuracy in extracting data, reflecting Parseur's efficiency in automating the data extraction process.

Through our testing and research, we identified several compelling use cases for Parseur:

• Automate Data Entry Processes:
• Our team found Parseur to be a reliable solution for automating data entry processes, saving valuable time, and improving overall productivity.
• Streamline Workflows with Real-Time Data Capture:
• Parseur's ability to capture and process data in real-time enables businesses to streamline workflows, ensuring that relevant information is readily available for decision-making.
• Improve Data Entry Speed and Quality:
• Parseur's efficiency in extracting accurate data contributes to improving data entry speed and quality, ultimately reducing operational costs.

In conclusion, Parseur stands out as a robust parsing tool with a range of features that cater to diverse document processing needs. Its ability to extract structured data from various sources, coupled with seamless integrations and user-friendly interfaces, positions Parseur as a valuable asset for businesses aiming to optimize their data entry processes.

Our team extensively explored Parseur to bring you a detailed guide on how to use this advanced data entry automation software. Whether you are a seasoned user or a newcomer, Parseur offers a user-friendly interface that simplifies the document processing and parsing of complex information into structured data feeds. Here's a step-by-step guide to help you harness the full potential of Parseur.

Begin by creating a new mailbox in Parseur. You have the option to choose from pre-defined mailboxes or create a customized one tailored to your specific needs. If you already have an existing mailbox for which you want to utilize AI, enable the AI engine as described in step 2 below.

After selecting the mailbox type, click the AI checkbox to activate it. This step is crucial for harnessing Parseur's powerful AI-driven capabilities. You can also activate AI on an existing mailbox in the mailbox settings. Additionally, for efficiency, you have the option to activate AI for all existing mailboxes in your user account by navigating to your account settings.

To effectively configure Parseur for your specific data extraction needs, upload a representative sample document that showcases the type of data you want to extract. This could be an email, PDF, spreadsheet, any other document format that you commonly work with, or a new template.

Wait for Parseur to analyze the document. If your mailbox already has predefined fields, Parseur will immediately start the extraction process. For custom mailboxes without default fields, you'll need to create some fields to specify the data you wish to extract. Click on the uploaded document, navigate to the Fields tab, and add the specific fields you want to extract. Ensure these fields are named in a manner that the AI can easily understand, using terms like "InvoiceNumber" or "customer_address."

After adding all desired extraction fields, click the "Process" button to initiate the AI-driven data extraction process. Parseur's machine learning algorithms will analyze the document, automatically extracting data based on the configured fields. Review the results to ensure accuracy and make adjustments to the configuration if needed.

For custom mailboxes with no default fields, creating simple fields is essential. Click on the uploaded document to view it, navigate to the Fields tab, and add the specific fields you wish to extract. The simplicity of this process allows users to tailor the data extraction according to their unique requirements.

To extract a list of repeating data, such as line items in an invoice or products in an order, use the New Table button. Click on the "Add fields to <your field>" button to name the individual fields you want to extract from the table. Repeat this process for each field you want to add, such as quantity, description, SKU, price, etc.

Parseur offers multiple avenues for uploading documents and integrating with other applications:

• Via Zapier: Send documents from any Zapier-connected app to Parseur.
• Via Power Automate: Send documents from any Microsoft Power Automate connected app (including Microsoft Exchange and Outlook) to Parseur.
• Via Make (formerly Integromat): Send content from any Make-connected app to Parseur.
• Via Direct Upload: Manually upload documents straight into the app.
• Via API: Send documents in text, HTML, or binary format via Parseur's API.