Parsio.io
Parseur.com
DocParser
Nanonets
Airparser
Docsumo
Parserr
DocuClipper
Python
JavaScript
Java
C++
Rust
Ruby
PHP
Elixir
Parsio is an AI-powered document parser that extracts data automatically. It uses machine learning to extract structured data from emails, PDFs, Excel, CSV, HTML and XML files.
The parsed data can be exported in real time to Google Sheets, Slack, Notion, Airtable, and 6000+ apps via Zapier and webhooks.
Say goodbye to manual data entry and streamline your data extraction process with AI-powered document parser.
Parsio.io PythonBased on our record, Python should be more popular than Parsio.io. It has been mentiond 299 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.
Parsio.io โ Free email parser (Forward email, extract the data, send it to your server). - Source: dev.to / over 2 years ago
I'm the developer of two tools that can do precisely what you're looking for: Parsio (https://parsio.io) and Airparser (https://airparser.com). Source: almost 3 years ago
I'm the founder of Parsio (https://parsio.io). We use pre-trained AI models to automatically extract tables from PDFs. It works perfectly in most cases. Source: almost 3 years ago
To extract tables from PDFs, you can use the following tools: 1. Tabula (https://tabula.technology): a free and open-source tool. 2. Parsio (https://parsio.io): uses pre-trained AI models for data extraction from PDFs, emails, and other formats. 3. Airparser (https://airparser.com): uses GPT approach similar to ChatGPT for data extraction from PDFs, emails, and other formats. - Source: Hacker News / almost 3 years ago
I'm building Parsio (https://parsio.io), a document parser tool. It can extract structured data from emails, PDFs, HTML, Word, Excel, and other file types. Source: about 3 years ago
137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 3 months ago
For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / 3 months ago
Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 4 months ago
**_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โSave this dataโ - โGet this dataโ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ platform makes it straightforward and fast to create highly accurate Deep Learning models.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
