
Fern
liblab
Mintlify
Speakeasy
swagger.io
Postman
MCPForge.tech
Composio.dev
DocParser
Nanonets
Parseur.com
Rossum
Docsumo
DocuClipper
FlexiCapture
Parsio.io
DocParserBased on our record, DocParser should be more popular than Fern. 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.
Stainless is way more than just the codegen. If you’re curious I did write some details when responding to another comment: https://news.ycombinator.com/item?id=48191376. - Source: Hacker News / 4 months ago
We evaluated Stainless, Fern [1], and a few others for Docs & SDKs (soon, CLI) and ended up choosing Fern. Definitely glad we did after today's news. Hadn't seen WorkOS's work here though - thanks for sharing. [1] https://buildwithfern.com/. - Source: Hacker News / 4 months ago
After evaluating multiple SDK-as-a-service vendors, including Speakeasy, Fern and Liblab, we selected Speakeasy as our strategic partner. Speakeasy’s philosophy aligns with our mission to deliver an outstanding developer experience. Here’s why we’re excited about this partnership:. - Source: dev.to / over 1 year ago
Lots of these have been popping up lately, they all seem really good. https://buildwithfern.com/. - Source: Hacker News / over 2 years ago
Thank you for your encouraging words and insights! There are indeed popular DSLs and code to openapi solutions out there. Many of which are easy to plug in to the openapi-stack libraries btw! I guess I personally always found it frustrating to try to control the generated OpenAPI output using additional tooling and ended up preferring yaml + a visualisation tool as the api design workflow. (e.g. Swagger editor)... - Source: Hacker News / almost 3 years ago
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: over 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
liblab - Generate SDKs and documentation that stay in sync with your API
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Mintlify - The AI-powered documentation writer. It's documentation that just appears as you build
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
Speakeasy - Create great integration experiences for your APIs: native-language SDKs, Terraform providers, and friction-free docs.
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.