Diwadi

Name: Diwadi — Download page. Local AI File Desktop
Availability: InStock
Rating: 5 (1 reviews)
Author: Diwadi

Diwadi — Free Download. Local AI File Desktop

Diwadi is a desktop file workspace that integrates artificial intelligence to process documents, media, and data without an internet connection, maintaining the privacy and integrity of information on macOS and Windows systems.

★★★★★

5.0(1 ratings)

Download Diwadi (Official links)

File size: 176 MB

The latest version of Diwadi is: 0.19.0

Operating system: Windows, Mac OS

Languages: Spanish, English

Developer: Diwadi

Price: $0.00 USD

Instant file preview. Allows you to open and instantly view a wide range of formats including PDF, Word documents, spreadsheets, images, videos, audio files, Markdown, and diagrams, without needing to open external applications.
Video format conversion. Converts video files between formats such as MP4, MOV, and WebM, maintaining the original quality without needing to re-encode the content, which streamlines the process of preparing audiovisual material.
Image conversion and compression. Converts images between HEIC, JPG, PNG, and WebP formats, and reduces their size to fit specific limits, preserving a copy of the original file unmodified.
Audio tools and OCR. Extracts the audio track from a video to save it as an MP3 or WAV file. Additionally, it performs Optical Character Recognition (OCR) to extract readable text from images or scanned documents.
CSV file processing with SQL. Allows you to run structured queries (SQL) directly on CSV files, facilitating the filtering, transformation, and analysis of large volumes of tabular data, including millions of rows.
Markdown document and diagram editing. Offers an environment for drafting and refining Markdown (.md) files, as well as creating and modifying diagrams using text-based languages like Mermaid and D2, ensuring the structure and formatting are maintained.
PDF file merging and splitting. Provides utilities to combine multiple PDF files into a single document or to split a PDF into several separate files, keeping the original structure and references intact.
Assistance via local AI models. Includes artificial intelligence models like Llama 3 that operate entirely on the user's computer. These models can summarize, extract information, or rewrite the content of documents, spreadsheets, and other files without needing to send data to external servers or use API keys.
Speech transcription and synthesis. Converts audio files to text using transcription models (Speech-to-Text) and generates speech from text (Text-to-Speech), with a free allocation of over 1000 minutes for these functions.
Image generation. Integrates diffusion models to create new images from text descriptions, running locally and without relying on cloud services.
File task automation. Offers the possibility to set up automations for routine file maintenance, such as organizing or cleaning directories, giving the user total control over the outcomes.
Reliable handling of large files. Opens and processes large files, such as databases with billions of rows in CSV format, without truncating the information or corrupting the original data, guaranteeing content integrity.
Lossless local video editing. Allows you to trim and merge video segments directly, without re-encoding the content unless specified by the user, which preserves the original quality and speeds up the work.
Combining files into a single coherent result. Integrates documents, data, and media from different sources into a single structured output, whether in PPTX, PDF, video, or Typst format, maintaining cross-references and the original formatting of each element.
Secure archiving and extraction. Compresses and decompresses files in formats like 7z and ZIP, ensuring that the packaged data remains intact and unaltered during the process.

The development of Diwadi began with the goal of creating a unified desktop tool that respects user privacy and file integrity. The application is primarily built in the Rust programming language, chosen for its performance, memory safety, and ability to reliably handle large volumes of data. Since its initial launch, the development team has progressively incorporated open-source artificial intelligence models (such as Llama 3 and Whisper) that run locally, enabling advanced functionalities without relying on the cloud.

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