From converting Spanish voice to text across multiple dialects to translating Spanish audio to English, every use case is covered
Spanish speech to text that differentiates between Castilian, Mexican, Argentine, Colombian, and Caribbean pronunciation patterns. Automatic punctuation included for clean, readable output.
Domain models for Medical, Legal, Financial, and Academic content. When a recording mentions "prescripción," the system knows whether it refers to a medical prescription or a legal statute of limitations.
All uploaded Spanish audio files are transmitted over SSL and processed in GDPR-compliant infrastructure. Files can be permanently deleted from servers at any time.
Translate Spanish audio to text in English in a single step. Upload a recording, choose English as the output language, and receive both transcript and SRT subtitle files ready for download.
| SpeechText.AI | Google Cloud | Amazon Transcribe | Microsoft Azure | OpenAI Whisper | |
|---|---|---|---|---|---|
| Accuracy (Spanish) | 93.4-96.5% (MLS-es + Fisher Spanish; internal benchmark) | 91.2-94.0% (MLS-es; independent estimate) | 91.5-93.8% (Fisher Spanish; estimate based on AWS docs) | 90.1-93.2% (FLEURS-es; vendor-reported) | 89.5-92.7% (MLS-es; open benchmark per Whisper paper) |
| Supported formats | Any audio/video format | WAV, MP3, FLAC, OGG | WAV, MP3, FLAC | WAV, OGG | WAV, MP3 |
| Domain Models | Yes (Medical, Legal, Finance, Education, Science) | No | No | No | No (general model) |
| Speech Translation | Spanish to English and other languages; built-in | Separate Translation API required | Add-on via Amazon Translate | Add-on via Translator service | Built-in translation (variable quality) |
| Free Technical Support |
Footnote: Accuracy figures are reported as (100% − WER) on the Multilingual LibriSpeech Spanish (MLS-es, ~5,000 utterances) and Fisher Spanish (LDC2010S01, ~2,000 utterances) evaluation sets with lowercase text normalization and punctuation removed. SpeechText.AI figures are from internal benchmarks; Google, Amazon, and Azure figures are estimates based on vendor documentation and independent replications unless marked "vendor-reported." OpenAI Whisper large-v3 figures are drawn from published model cards.
Three steps to convert any Spanish recording into editable text or translate it into English
Drag and drop a file or paste a URL. The Spanish audio to text converter accepts MP3, WAV, M4A, OGG, OPUS, WEBM, MP4, TRM, and other formats. Batch uploads are supported for large projects with multiple recordings.
Select Spanish as the language and choose a domain model such as Medical, Legal, Finance, Education, or Science. The sector-specific vocabulary layer can push transcription accuracy to near-perfect levels, especially on technical recordings.
The transcript is ready within minutes. Use the built-in editor to check speaker labels, correct any segments, and export to Word, PDF, TXT, or SRT format.
Purpose-built acoustic and language models for Spanish, trained on regional speech data spanning more than 20 countries
Spanish is not a single accent. A speaker from Buenos Aires drops the "s" at the end of syllables and pronounces "ll" as "sh." A speaker from Mexico City has a completely different rhythm and vowel reduction pattern. Caribbean Spanish swallows consonants altogether. Most Spanish speech to text tools are trained predominantly on Castilian data and struggle with these variations. SpeechText.AI acoustic models are built on balanced corpora that include Peninsular, Mexican, Rioplatense, Andean, Caribbean, and Central American speech. The result: significantly fewer misrecognitions regardless of where the speaker is from.
Generic transcription engines frequently fail on specialized vocabulary. Consider a legal deposition where the word "recurso" appears. Is it an appeal, a resource, or a remedy? The domain model for Legal Spanish disambiguates based on the surrounding context, referencing terminology databases drawn from actual court proceedings and regulatory documents. The same principle applies to Medical, Finance, Education, and Science models. Each one carries a vocabulary expansion layer and statistical bias toward the terminology of its field, reducing word errors on jargon-heavy recordings by a substantial margin compared to general-purpose converters.
A raw stream of words without commas, periods, or paragraph breaks is almost useless. The NLP layer analyzes syntactic cues in Spanish sentence structure, including subordinate clause patterns and the frequent use of long compound sentences, to place punctuation marks with high confidence. Speaker diarization runs in parallel, identifying who said what even when participants interrupt each other. The combination produces a transcript that reads like a polished document rather than a wall of unformatted text, saving hours of manual cleanup on interviews, podcasts, conference panels, and multi-party legal depositions.
SpeechText.AI reaches 94.8-97.3% accuracy on Spanish audio transcription. That figure climbs further when a domain model (Medical, Legal, Finance, etc.) matches the content of the recording. The improvement over general-purpose tools comes from acoustic models trained on diverse Spanish dialects and a language model layer that understands sector-specific terminology, reducing errors on technical words that other converters often misinterpret.
Yes. The platform supports direct speech to text Spanish to English translation. After uploading a Spanish recording, select English as the target output language. The system transcribes the Spanish speech first, then applies a neural translation model to produce an English transcript. Both the original Spanish text and the translated English version can be exported as Word, PDF, or SRT subtitle files. This eliminates the need for a separate Spanish translator voice to text tool.
Every file transfer uses enterprise-grade SSL encryption, and processing takes place on GDPR-compliant servers. Recordings and transcripts are accessible only through the account that uploaded them. Permanent deletion of all associated data is available at any time from the dashboard, giving full control over file retention.
Absolutely. New accounts receive complimentary transcription minutes to test the Spanish audio to text converter with real files before committing to a plan. Upload a recording, choose a domain model, and compare the output against any other service. The trial includes access to all features: speaker identification, automatic punctuation, and export in multiple formats.
OpenAI Whisper large-v3 is a capable general-purpose model, but it treats Spanish as one monolithic language. SpeechText.AI adds two critical layers on top of strong acoustic recognition. First, dialect-specific acoustic adaptation means fewer errors on regional pronunciations such as seseo, yeísmo, or aspirated /s/. Second, domain vocabulary models correct technical terms that Whisper frequently misrecognizes in professional recordings. In benchmark tests on MLS-es and Fisher Spanish data, SpeechText.AI showed a measurably lower word error rate, especially on medical, legal, and financial content.
The Spanish video transcription tool accepts virtually every common media format: MP3, WAV, M4A, OGG, OPUS, WEBM, MP4, MOV, AVI, FLAC, TRM, and more. This covers files exported from WhatsApp voice notes (typically OGG or M4A), Zoom meeting recordings (MP4), podcast editors, broadcast archives, and professional video cameras. Simply save the file to a device and upload it, or paste a direct URL to the media. There is no need to convert formats beforehand.
