At FacePdf, we are always on the lookout for fresh perspectives and exciting ideas to share with our readers. We believe that offering guest posting opportunities is a great way to bring new voices and unique perspectives to our platform.
We are particularly interested in articles that explore the following topics:
Technology and Science
Business and Entrepreneurship
Education and Career Development
We welcome submissions for one of our blog sections, which should range between 400 and 800 words. We also accept feature articles, which generally range from 1,200 to 1,500 words. If you have an idea for an original reporting piece, we recommend pitching it to our editor first.
To ensure the highest quality content, we require that all submissions are free of plagiarism and have not been published elsewhere. Please send your article in a doc format.
When it comes to writing for our website, we believe that creativity and engagement are key. We want you to bring your own unique voice and style to your writing, and to approach your topic in an interesting and engaging way. Whether you're sharing your expertise on a new technology trend, providing valuable business insights, or offering advice on career development, we want your article to be both informative and enjoyable to read.
In addition to your article, we also request a short bio and headshot to be included with your submission. This allows us to properly credit you as the author and help our readers get to know you better.
If you're interested in submitting a guest post, we encourage you to
You can send files for processing using different channels like Google Drive, Dropbox, One Drive, FTPS / SFTP.
Reading of text content from documents and saving the results as metadata or in machine readable format.
Extracting data from any document type, typically using pre-defined templates even when the layout is highly variable.
Categorizing documents based on their type, for example: Invoices, Financial Statements, Receipts, Contracts, etc.
Manual correction and enhancement of collected data with relevant context obtained from additional sources.
Return accurate structured data in: .json-file, .xml-file, or a format you desire - including the document with an ocr-layer.