Presenting Ponder …
Speech-to-Text API at 1/4th the Price of Google Speech
See side-by-side accuracy and price comparisons
vs. IBM Watson, Google Speech and Amazon Transcribe
Launching December 2018
Process Up to 1,000 Audio Files Simultaneously
Just upload and walk away
Not need to wait around for translations. Just upload as many files as you like, and we’ll process them in parallel. You don’t need to keep a socket or connection open to wait for a response.
Get Setup and
Transcribing in 3 Minutes
Getting setup with Ponder only takes two steps.
Step 1: Create an API Key.
Step 2: Upload your files. Our npm install or pip install clients make this a simple process. Our API protocol is simple and straightforward if you want to write your own.
Upload in Mono or Stereo, MP3, WAV, FLAC or any Other Format
Optimized for Ease of Setup
We accept any level of compression, file format, or sample rate. You don’t need to add any specs on the file you upload, we’ll detect it automagically.
Punctuation for People, Timestamps for Computers
Human readable, yet easy to program with
Many speech-to-text APIs don’t support punctuation. The result is a giant wall of text, which is difficult to read. Ponder’s results are punctuated and timestamped by default.
That means it’s easy for both humans and machines to read. You can disable both options if they’re not needed.
Example #1: Alice in Wonderland
Alice was beginning to get very tired of sitting by her sister on the bank and of having nothing to do once or twice she had peepedinto the book. Her sister was reading, but it had no pictures or conversations in it and what is the use of a book thought Alice without pictures or conversation, so she was considering in her own mind as well as she could for the hot day made her feel very sleepy And stupid whether the pleasure of making a daisy chain would be worth the trouble of getting up and picking the daisies when suddenly a white rabbit with pink eyes ran close by her.
There was nothing so very remarkable in that. Nor did Alice think it. So very much out of the way to hear the rabbit say to itself. Oh dear, oh dear, i shall be late when she thought it over afterwards. It occurred to her that she ought to have wondered at this, but at the time it all seemed quite natural, but when the rabbit actually took awatch out of his waistcoat pocket and looked at it and then hurried on Alice started to her feet. For it flashed across her mind that she had never before seen a rabbit with either a waste coat pocket or a watch to take out of it and burning with curiosity.
She ran across the field after stand. Fortunately was just in time to see it pop down a large rabbit hole under the hedge. The rabbit hole went a street on like a tunnel for some way and then dipped suddenly down. So suddenly, that Alice had not a moment to think aboutstopping herself before she found herself falling down a very deep well either though well was very deep or she fell very slowly for she had plenty of time as she went down to look about her and To wonder what was going to happen next first, she tried to look down and make out which she was coming to, but it was too dark to see any thin.
Then she looked at a side of the well and noticed that they were filled with coppers and book shelves here and there she saw maps and pictures hung upon pegs. She took down a jar from oneof the shelves as she passed it was labeled or in marmalade, but to her great disappointment, it was empty. She did not like to drop the jar for fear of killing. Somebody so managed to put it into one of the cupboards as she fell, passed it down down down. Would the fan never come to an end? I wonder how many miles i've fallen by the ...
Example #2: Let’s Put a Man on the Moon
We chose to go to the moon. We chose to go to the moon in this decade in do the other things not because they are easy, but because they are hard, because that gold will serve to organize and measure the best of our energies and skills, because that challenge is one that we are Willing to accept one, we are unwilling to post pone and one which we intend to win the others too.
It is for these reasons that i regard the decision lash year to shift our efforts in space from low to high gear, as among the most important decisions that will be made during my incumbency in the office of the presidency.
Have additional questions?
Contact us at: [email protected]
How long does a transcription take?
Approximately 2 minutes, plus 1.5x the length of your audio.
In other words, a 10 minute audio will take 2 minutes, plus 15 minutes, for a total of 17 minutes.
Do you support streaming audio?
Streaming audio is in development and is expected to be ready by early 2019.
Does this work with music?
Ponder works best with clear spoken audio, with minimal background noise or ambient sounds. We do work with music, but the accuracy rate is low.
How do I get my transcripts?
Each transcription has a transcript ID number. This transcript ID is returned as a JSON object when you submit your request. You can use this transcript ID to query and get your transcript. See the docs here.
Do you have a web interface?
At the moment we only work via API. A web interface for doing online transcriptions is coming in 2019.
Do you work with Java / C++ / PHP / etc?
Ready to get started?
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