Transcribe mp3, WhatsApp audio + wavs with OpenAI's Whisper or AI4Bharat / Bhashini ASR models. Optionally translate to any language too.

Here we take an input sample of Kikuyu phrases (and their expert transcription and English translations) and compare the top Speech Reco and Translation models. As of Sep 23, 2024, we've found that Meta's MMS-Large works best for Kikuyu with Ghana NLP's Kikuyu to English translation services.

. Which AI model actually works best for your needs?
Upload your own data and evaluate any Gooey.AI workflow, LLM or AI model against any other.
Great for large data sets, AI model evaluation, task automation, parallel processing and automated testing.
To get started, paste in a Gooey.AI workflow, upload a CSV of your test data (with header names!), check the mapping of headers to workflow inputs and tap Submit.
More tips in the Details below.

Transcribe mp3, WhatsApp audio + wavs with OpenAI's Whisper or AI4Bharat / Bhashini ASR models. Optionally translate to any language too.

Transcribe mp3, WhatsApp audio + wavs with OpenAI's Whisper or AI4Bharat / Bhashini ASR models. Optionally translate to any language too.

Which AI model actually works best for your needs?
Upload your own data and evaluate any Gooey.AI workflow, LLM or AI model against any other.
Great for large data sets, AI model evaluation, task automation, parallel processing and automated testing.
To get started, paste in a Gooey.AI workflow, upload a CSV of your test data (with header names!), check the mapping of headers to workflow inputs and tap Submit.
More tips in the Details below.

Gooey.AI's Copilot is the best chatbot builder anywhere, combining your choice of LLMs (GPT4o, GPT4o-mini, Gemini, Claude3.5, Mixtral or LLaMA3), knowledge docs from any link or doc/PDF (with table support!), speech recognition, text-to-speech and Lipsync, editable synthetic data pipelines, built in 👍🏿 👎🏼 feedback, conversation analysis, WhatsApp, slack, Facebook and API integrations and much more.

In this example, we present Farmer.CHAT. It uses a collection of documents and transcripts of 100s of videos representing best practices to answer common questions from Indian farmers. We load these documents + transcripts into a vector database. With each question, we search the vector DB and then add the results to a GPT script below to create an answer to the farmer's questions. Simply change the Instructions and Knowledge docs & tap Submit and then Save to make it your own.

To know more, head over to our COPILOT HELP GUIDE

Which AI model actually works best for your needs? Upload your own data and evaluate any Gooey.AI workflow, LLM or AI model against any other. Great for large data sets, AI model evaluation, task automation, parallel processing and automated testing. To get started, paste in a Gooey.AI workflow, upload a CSV of your test data (with header names!), check the mapping of headers to workflow inputs and tap Submit. More tips in the Details below.

Fetch API for the location of the International Space Station

Added a function to check character count for twitter. You can fork the functions workflow and add ANY API!.

YOU CAN CHECK THE DETAILS SECTION AT THE BOTTOM OF THE PAGE TO SEE THE FUNCTION OUTPUT!

Added a function to check character count for twitter. You can fork the functions workflow and add ANY API!.

YOU CAN CHECK THE DETAILS SECTION AT THE BOTTOM OF THE PAGE TO SEE THE FUNCTION OUTPUT!

We've built the best Retrieval Augmented Generation (RAG) as-a-Service anywhere - now with page-level citations! Absorb tables, PDFs, docs, links, videos or audio clips and use our synthetic data maker to generate FAQs and structured data from noisy, unstructured files. Search 1000s of files with our incredibly fast, hybrid database (finding related concepts OR specific keywords). Summarize results with OpenAI, Gemini or any open-source LLM of your choice. And finally, make informed LLM and synthetic data decisions by evaluating with your own golden data sets.

Our benefits:

1. Page level citations to PDFs.
2. We understand tables and dirty PDFs!
3. No-code UX with full API support.
4. Use any LLM model + your own scripts to create synthetic data.
5. Support for Google docs, sheets, etc + PDF, doc, docx, txt, links, ppt, sheets, xls, wav, mp3, mp4 and mov
6. Links to live documents automatically re-indexed if they change
7. Use our Golden QnA eval framework to test any workflow (especially useful for testing different embeddings + synthetic data creation prompts)
8. Hybrid search - search for vectors, keywords or both.
9. Cloud-based, per-API and per MB pricing

Enhance your search results and summary with Retreival Augemented Generation. Use vector database (vectorDB) search on documents, links, pdfs, docx, txt, and use summarize with any LLM of your choice. You can choose from several embeddings models, customize hybrid search, choose from a range of citation styles and also create synthetic data! If you are looking for a quick RAG (Retrieval Augmented Generation) tool, look no further!

Which language model works best for your prompt? What are the biases inherent in each? Compare LLaMA2, Gemini, Mistral, OpenAI GPT-4 engines with more LLMs being added each month.