Docs IA

Puzzle DocsIA

Find out how Puzzle DocsIA can help your company reduce costs, save time, increase productivity and drive innovation.
Puzzle DocsIA is a service based on Artificial Intelligence for document processing.
Process all types of documents with handwritten or digital data, forms, tables, text, regular expressions, etc.
The steps are:

Fine Tunning

We adapt the documents to be processed so that you can adopt this technology, extracting the data that drives your business.

In a few seconds we search or receive documents from multiple sources such as: multifunctional devices (MDFS), scanners, digitized documents, images captured from mobile phones.

We classify

documents automatically

We extract the data

that the client requested (handwritten or text)

We analyze and interpret the extraction

and we generate consistency tests. When data is sensitive or critical to correction, human review and management is facilitated.

We deliver the readable result

al destino deseado, ya sea una base de datos o a un sistema que el cliente considere seguro y confidencial.

Some examples common to all industries are:

• Receipts
• Referees
• Bills
• Expense summaries
• Purchase Orders
• Contracts
• Waybills
• Forms

• Judicial documents
• Clinical Histories
• Certificates
• Requests
• Titles
• Policies

Your company is inserted in the world of Artificial Intelligence with concrete benefits

With Machine Learning technology, it automatically extracts, processes and analyzes your documents.

Puzzle DocsIA eliminates the risk of human error by manually interpreting documents and then transcribing the data into other formats. It reduces the possibility of human error and greatly improves the accuracy and consistency of the data, which is crucial for effective decision making and risk management.

At the most basic level, it’s easier to ensure that all documents are in order when they’re stored electronically than when they’re stored on paper.

Puzzle DocsIA automates the manual process of reviewing unstructured data to extract meaningful insights. This allows employees to focus on more valuable work, resulting in increased productivity and efficiency. An added benefit? Increased job satisfaction for employees seeking more significant responsibilities. cultivate a more committed workforce.
Puzzle DocsIA reduces response times in customer-facing business processes where customer documents need to be reviewed. This review can now be done much faster and more accurately. In this way, employees can focus on customer service and not on data entry. This improves customer satisfaction and increases loyalty and repeat business.
Configure to meet specific security requirements, ensuring that sensitive information is protected from unauthorized access. In addition to being able to interpret and extract data, Puzzle DocsIA can also mask sensitive information as part of its review, so other employees don’t have access to certain fields. This is especially important for organizations that handle sensitive personal information, such as banking or healthcare.
Since Puzzle DocsIA can process large volumes of documents using limited resources, it is infinitely scalable. Accommodate growth in new markets and expand the number of accounts you can take on without adding to your headcount.
By automating the lengthy document processing process, Puzzle DocsIA can reduce the costs associated with manual data entry, such as labor, training, and equipment. Even more important, with global labor shortages affecting many industries, this process can be done by AI instead of a worker.
Puzzle DocsIA can improve regulatory compliance by creating more efficient and predictable business processes.

Are you ready to enter the world of

Frequent Questions

All types of scanned digital documents,including handwritten text, table embeds, digital text, text only, symbols, etc.

The most important thing you have to keep in mind is that the costs are for consumption. The more you consume, the cheaper the service is.

To estimate the processing costs you have to take into account the complexity of the data to be extracted and the monthly processing volume. For that there are 3 categorized bands. Check your quote in an interview or phone call.

All types of scanned digital documents. Including handwritten text, table embeds, digital text, text only, symbols, etc.

In the way you consider most secure, we help you integrate the data so that the process is completely automatic from end to end.
PuzzleDocsIA does not store credentials of any kind and integrates in whatever way the customer deems most secure. Businesses can encrypt their files and assign security levels to protect their data from unwanted users.

Yeah! It does not require any user training.

All. Consumption is measured by document and not by extracted data.

You do not need any prior platform or service, or programming language, or a computer specialist. It is simple and for anyone.

We combine optical character recognition and artificial intelligence (AI) technologies such as machine learning, natural language processing, and deep learning to extract information from unstructured or semi-structured documents and convert it into searchable and structured data.
For example, if the forms are not clear, we recommend certain criteria for cross-validation, regex conversion, partitioned batching, etc.

PUZZLE DOCS AI uses AI algorithms combined with NLP to identify document types by matching unknown documents to existing categories.

Features are extracted and fed to algorithms, which calculate a similarity score. The similarity score is used to determine the most accurate category for document classification

When receiving a scanned or captured image of a document, IDP intelligently extracts relevant data using OCR and AI algorithms. All types of data can be extracted: Structured data – Data that is organized and has a logical structure (e.g. CSV, JSON, XML).

Unstructured data that requires manipulation, such as data cleansing, prior to the extraction process, as they do not always have a logical structure that machines can read (e.g. emails, images or scanned documents).

Al recibir una imagen escaneada o capturada de un documento, IDP extrae de forma inteligente los datos relevantes mediante algoritmos de OCR y de IA. Se pueden extraer todo tipo de datos: Datos estructurados – Datos que están organizados y tienen una estructura lógica (por ejemplo, CSV, JSON, XML).

Datos no estructurados que requieren una manipulación, como la limpieza de los datos, antes del proceso de extracción, ya que no siempre tienen una estructura lógica que puedan leer las máquinas (por ejemplo, correos electrónicos, imágenes o documentos escaneados).

PUZZLE DOCS IA utiliza algoritmos de IA combinados con PNL para identificar los tipos de documentos mediante la correspondencia de los documentos desconocidos con las categorías existentes.

Se extraen las características y alimentan a los algoritmos, que calculan una puntuación de similitud. La puntuación de similitud se utiliza para determinar la categoría más precisa para la clasificación de documentos.

Por ejemplo, si los formularios no son claros, recomendamos ciertos criterios de validación cruzada, conversión de expresiones regulares, loteos particionados, etc.

Combinamos el reconocimiento óptico de caracteres y las tecnologías de inteligencia artificial (IA) como el aprendizaje automático, el procesamiento de lenguaje natural y el aprendizaje profundo para extraer información de documentos no estructurados o semiestructurados, y convertirla en datos estructurados y de búsqueda.