Fast, accurate, multilingual speech-to-text API and speech summarization
Get near-human accuracy with domain-tuned models. Our accurate speech recognition API handles noisy audio, speaker turns, and industry terminology
Auto-summarize recordings and highlight key moments. Useful for meeting notes, legal hearings, and call center transcripts
Developer-friendly endpoints make it simple to add voice to text capabilities to your app in minutes
Supports all major languages for use in speech-to-text transcription applications, making it ideal for global workflows
Speech-to-text API supports almost all formats of audio and video files, plus SRT/VTT export for video transcription workflows
Accurate, multi-language speech recognition API at only 1.2¢ per minute. Flexible billing, enterprise plans, and free API keys to test
| SpeechText.AI | Watson Speech to Text | Google Speech API | Amazon Transcribe | |
|---|---|---|---|---|
| Price per Hour | $0.7-$1.0 | $1.2 | $1.44-$2.16 | $1.44 |
| Languages Supported | Multiple | Multiple | Multiple | Multiple |
| Punctuation/Casing | ||||
| Keyword Highlights | ||||
| Audio/Video Summarization | ||||
| Integration Time | Up to 1 hour | 1-2 days | 1-2 days | 1-2 days |
| All File Formats Accepted | ||||
| Process Data From | Anywhere | Binary Data | Cloud Storage Bucket | Amazon S3 bucket |
| Export as SRT/VTT | ||||
| Free Technical Support |
Build accurate speech recognition applications in minutes. We take care of the complexity behind and wrap it in a few lines of code.
import requests
import json
secret_key = "SECRET_KEY"
# loads the audio into memory
with open("/path/to/your/file.mp3", mode="rb") as file:
post_body = file.read()
API_URL = "https://api.speechtext.ai/recognize?"
header = {'Content-Type': "application/octet-stream"}
options = {
"key" : secret_key,
"language" : "en-US",
"punctuation" : True,
"format" : "mp3"
}
# send an audio file to SpeechText.AI
r = requests.post(API_URL, headers = header, params = options, data = post_body)
# create transcription task
curl -H "Content-Type:application/octet-stream" --data-binary @/path/to/your/file.m4a "https://api.speechtext.ai/recognize?key=SECRET_KEY&language=en-US&punctuation=true&format=m4a"
# retrieve transcription results
curl -X GET "https://api.speechtext.ai/results?key=SECRET_KEY&task=TASK_ID&summary=true&summary_size=15&highlights=true&max_keywords=10"
# get captions
curl -X GET "https://api.speechtext.ai/results?key=SECRET_KEY&task=TASK_ID&output=srt&max_caption_words=10"
# process public URL
curl -X GET "https://api.speechtext.ai/recognize?key=SECRET_KEY&url=PUBLIC_URL&language=en-US&punctuation=true&format=mp3"
<?php
$secret_key = "SECRET_KEY";
# loads the audio
$filesize = filesize('/path/to/your/file.m4a');
$fp = fopen('/path/to/your/file.m4a', 'rb');
// read the entire file into a binary string
$binary = fread($fp, $filesize);
# endpoint and options to start a transcription task
$endpoint = "https://api.speechtext.ai/recognize?key=".$secret_key."&language=en-US&punctuation=true&format=m4a";
$header = array('Content-type: application/octet-stream');
# curl connection initialization
$ch = curl_init();
# curl options
curl_setopt_array($ch, array(
CURLOPT_URL => $endpoint,
CURLOPT_RETURNTRANSFER => true,
CURLOPT_POST => true,
CURLOPT_HEADER => false,
CURLOPT_HTTPHEADER => $header,
CURLOPT_POSTFIELDS => $binary,
CURLOPT_FOLLOWLOCATION => true
));
# send an audio transcription request
$body = curl_exec($ch);
curl_close($ch);
import java.net.*;
import java.io.*;
import java.util.concurrent.TimeUnit;
import org.json.*;
public class Transcriber {
public static void main(String[] args) throws Exception {
String secret_key = "SECRET_KEY";
HttpURLConnection conn;
// endpoint and options to start a transcription task
URL endpoint = new URL("https://api.speechtext.ai/recognize?key=" + secret_key +"&language=en-US&punctuation=true&format=m4a");
// loads the audio into memory
File file = new File("/path/to/your/file.m4a");
RandomAccessFile f = new RandomAccessFile(file, "r");
long sz = f.length();
byte[] post_body = new byte[(int) sz];
f.readFully(post_body);
f.close();
// send an audio transcription request
conn = (HttpURLConnection) endpoint.openConnection();
conn.setRequestMethod("POST");
conn.setRequestProperty("Content-Type", "application/octet-stream");
conn.setDoOutput(true);
conn.connect();
OutputStream os = conn.getOutputStream();
os.write(post_body);
os.flush();
os.close();
}
}
Monthly subscription packages to suit any budget and use case
We guarantee SpeechText.AI subscribers that all files are deleted immediately after the transcription has been finished and that the connection to our servers is always encrypted. This means that your audio/video files are not used for any purposes other than automatic speech recognition, nor can they be accessed by third parties. All our physical servers are located in Europe, and all our operations comply with European Union Data Protection laws.
Order receipt email messages sent to customers include a link to the customer's Account Management site. The Account Management site includes separate tabs for Subscriptions, Account Details, and Payment Methods. The Subscriptions tab lists all active and inactive subscriptions, and the Manage command for each subscription lets you update the payment method or cancel the subscription. If you cancel a subscription, you can also uncancel it here, up until the deactivation date.
Yes. The speech recognition service supports GET HTTP requests and can transcribe audio/video data from public URLs (e.g. Google Drive, Dropbox). You can execute GET requests by using curl in your terminal window or even call the API directly from your web browser.
Our speech to text service currently supports English, German, French, Spanish, Dutch, Italian, Portuguese, Russian, Chinese, Japanese, Korean, Arabic, Hebrew, Hindi, Polish, Swedish, Norwegian, Danish, Finnish, Turkish, Romanian, Czech, Ukrainian, Greek, Thai, Indonesian, Vietnamese, Filipino, English (Global model, multiple accents), English (India), German (Austria), Portuguese (Brazil), Spanish (Mexico), French (Canada).
The audio summarization feature automatically extracts the most important ideas from audio or video content and generates an accurate summary of the transcription text. Also, the speech recognition service can automatically detect and highlight key phrases in transcription results.
The speech to text API is powered by deep learning technologies to assist you in transcribing speech accurately and fast. Our state-of-the-art speech recognition algorithm achieves an average word error rate of 3.8% on different open datasets (~1000 hours of speech). But there are many factors that can affect the recognition accuracy, including but not limited to audio quality, background noise, multiple speakers talking at the same time, etc.
You send an audio or video file to the API endpoint, and the service returns the transcribed text. With SpeechText.AI, you can upload a file or pass a URL, choose your language, select an industry-specific model (legal, healthcare, HR, customer support, etc.), and receive text with high accuracy. Developers can start with a free API key and follow the examples in the Python, Node.js, PHP, Java and cURL documentation.
The best speech-to-text API depends on accuracy, language support, privacy, and price. SpeechText.AI's API offers multilingual speech recognition, GDPR-compliant EU hosting, industry-specific models for better accuracy, and a very low cost of 1.2¢ per minute. For many users, this combination provides the best balance of accuracy, privacy, and price.
SpeechText.AI is one of the most affordable options, starting from only 1.2¢ per minute. Even at this low price, you still get high-accuracy transcription, multilingual support, free technical support, and a secure GDPR-compliant transcription API.
A multilingual API should support many languages and accents with consistent accuracy. SpeechText.AI offers high-quality speech recognition for all major languages, including English, Spanish, French, German, Arabic, Chinese, Hebrew, Korean, Thai, Ukrainian, Russian, Japanese, and more. Industry-specific models help improve accuracy for specialized vocabulary in any supported language.
Value for money depends on price + accuracy + privacy. SpeechText.AI gives you high-accuracy multilingual transcription, specialized domain models, audio summarization, and EU-hosted GDPR-compliant processing - all starting at only 1.2¢ per minute. This makes it one of the strongest value for money speech-to-text APIs available on the market.
General speech models often fail on industry terminology. SpeechText.AI provides industry-specific speech to text models for legal, healthcare, HR, finance, technical domains, and more. These models understand complex vocabulary, acronyms, and formal speech, giving much better accuracy than generic transcription APIs.
Yes. SpeechText.AI includes automatic audio and video summarization. The API can generate a summary of the recording, highlight key moments, and extract important topics. This helps users quickly understand long meetings, interviews, podcasts, or legal recordings.
A good podcast transcription API must handle multiple speakers, long audio files, background noise, and different accents. SpeechText.AI offers multilingual speaker-accurate transcription, automatic summarization, and support for all major audio formats (MP3, WAV, FLAC, OGG, AAC, etc.). This makes it a reliable solution for podcast transcription and content repurposing.
For enterprise use, compare APIs by accuracy, pricing, language coverage, data privacy, hosting region, customization, and integration time. SpeechText.AI offers GDPR-compliant EU hosting, industry-specific models, flexible pricing, audio summarization, and easy integration with SDKs. These features make it suitable for legal, healthcare, HR, customer support, and enterprise workflows.