DocParser
Nanonets
Parseur.com
Rossum
Docsumo
DocuClipper
Parsio.io
FlexiCapture
Peaka
Hasura
Polytomic
GraphQL
Supabase
Jet Admin
Basedash
Denodo
Peaka is a Zero-ETL Data Platform that enables you to build a data stack in minutes instead of months.
With Peaka, you can integrate relational and NoSQL databases, SaaS tools, and APIsโ all without a data warehouse or ETL processes.
Some additional highlighted features:
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Peaka's answer:
What makes Peaka unique is its capability to make data integration accessible to organizations like startups and SMBs that lack the resources to employ large data teams.
Peaka's answer:
Our primary audience comprises startups willing to pull in data from different sources without having to invest in a costly data stack or employ large data teams.
Peaka's answer:
Peaka simplifies data integration and brings your data together without complicated ETL processes. Once your data is consolidated, you can then automate repetitive work and draw insights that can inform your decision-making.
Peaka's answer:
Peaka leverages data virtualization technology to create a semantic layer over scattered data sources. This new layer allows users to query data from any source without any physical ETL processes.
Peaka's answer:
Popupsmart, OneWell, Hop, and Actioner are among Peaka's biggest customers.
Peaka's answer:
Peaka started its life as Code2 - a no-code platform for developing customer-facing web apps. Having discovered that customers first needed to bring their data together before creating apps, the company went on to focus on simplifying data integration for non-technical people. In line with this new vision, the company rebranded itself as Peaka in 2023.
Based on our record, DocParser seems to be more popular. 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.
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: about 3 years ago
DocParser: DocParser simplifies the extraction of structured data from various file formats, such as PDFs and scanned documents, directly into Google Sheets. By automating this process, DocParser saves valuable time and effort otherwise spent on manual data entry. Link to DocParser. Source: about 3 years ago
There are several tools available today that can help you extract tables from PDF files (such as Tabula), or even parse PDFs into structured JSON using AI (like Parsio -> I'm the founder) or without AI (like Docparser). Source: over 3 years ago
Thank you for sharing those! I didn't know them I've only checked this one https://docparser.com/ and I think my solution could be better because it will be easier for the user. Source: over 3 years ago
As previously suggested, if the layout of your PDFs never changes (consistent column widths in tables and placement), you can use a zonal PDF parser like DocParser. Alternatively, an AI-powered parser may be a better choice. Source: over 3 years ago
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