What Does Transcribe Mean Explained Comprehensively

Definition and Core Concept of Transcription

The distinction between transcription and related terms—such as translation, recording, or conversion—lies in its emphasis on verbatim representation and contextual fidelity. Unlike translation, which involves converting text from one language to another while adapting cultural nuances, transcription maintains the original language and focuses solely on converting speech to written form. Recording, meanwhile, captures audio without interpretation, while conversion typically implies a transformation between formats (e.g., digital to analog) without textual analysis.

Linguistic Roots and Etymology

The linguistic distinction between transcribe and translate underscores their divergent objectives: transcription prioritizes faithfulness to the source, while translation prioritizes equivalence in meaning and cultural context.

Differentiating Transcription from Related Terms

Verbatim vs. Edited Transcription: Applications and Standards

1. Verbatim Transcription

2. Edited Transcription

Professional Considerations:

Process Flowchart: Audio to Text Transcription

1. Audio Preparation

2. Transcription Initiation

3. Textual Formatting

[00:10:45] Speaker 1: I think, uh, the project should be completed by next week, but—
[00:10:52] Speaker 2: [laughter] That’s optimistic.

4. Quality Assurance

5. Finalization and Delivery

Critical Decision Points:

Tools and Technologies in Transcription

Categorized List of Transcription Tools by Functionality

Automated Speech Recognition (ASR) Tools
ASR tools leverage AI to convert speech into text with varying degrees of accuracy, speed, and language support. These tools are ideal for large volumes of audio or video content where manual transcription would be time-consuming.

• Paid Options:
  • Otter.ai – Supports real-time transcription, speaker identification, and team collaboration. Offers a free tier with limited minutes and a Pro plan for advanced features.
  • Rev – Provides human + AI hybrid transcription with industry-specific templates (e.g., legal, medical). Paid plans include rush transcription and video editing integrations.
  • Descript – Combines transcription with video editing, allowing users to edit audio waveforms directly. Paid plans include unlimited hours and collaboration features.
  • Sonix – Focuses on high accuracy for business use cases, with features like speaker labeling and customizable vocabulary. Pricing is subscription-based.
  • Trint – Offers AI-powered transcription with real-time editing and integration with CRM tools like Salesforce. Paid plans include priority support.
• Free Options:
  • Google Docs Voice Typing – Basic ASR tool integrated into Google Docs, supports multiple languages, and requires an internet connection.
  • Windows Speech Recognition (Windows 10/11) – Built-in tool for dictation, limited to English and lacks advanced features like punctuation or formatting.
  • Speechmatics – Free tier available for developers with API access, supports multiple languages, and offers high accuracy for technical speech.
  • Whisper (OpenAI) – Open-source ASR model by OpenAI, available for download with Python. Requires technical setup but supports offline use and custom fine-tuning.

• Paid Options:
  • Express Scribe – Transcription software designed for professional transcribers, supports foot pedal control and customizable playback speeds.
  • InqScribe – Specialized for legal transcription, includes time-stamping and formatting tools for court reporting.
  • Transcribe! – Simple, distraction-free interface with playback controls and text expansion for repetitive phrases.
• Free Options:
  • Audacity (with plugins) – Open-source audio editor that can be paired with transcription plugins like Transcribe! for manual work.
  • OTranscribe – Web-based tool with playback controls, keyboard shortcuts, and no account required.

• Paid Options:
  • GoTranscript – Offers team collaboration, client portals, and integration with Google Drive. Pricing is per-minute with tiered plans.
  • Temi – Designed for transcription agencies, includes project management, invoicing, and client communication tools.
  • TranscribeMe – Crowdsourced transcription with team assignment features, suitable for distributed workflows.
• Free Options:
  • Google Drive + Voice Typing – Basic collaboration via shared documents, limited to Google’s ASR capabilities.
  • Notion (with integrations) – Customizable databases for organizing transcription projects, paired with third-party ASR tools via API.

• Paid Options:
  • Zoom AI Companion – Real-time transcription and captioning during video calls, with speaker differentiation.
  • CaptionCall – Specialized for live captioning for deaf/hard-of-hearing audiences, used in telecommunication services.
  • VITAC (Video Interpreting and Transcription) – Used in healthcare and education for live captioning and sign language interpretation.
• Free Options:
  • YouTube Live Captions – Automated captioning for live streams, with manual editing capabilities.
  • Amara – Open-source platform for collaborative video captioning, supports multiple languages.

Evaluating Transcription Tools: Accuracy, Speed, and Ease of Use

Step 1: Define Evaluation Criteria
Prioritize metrics based on project requirements:

• Accuracy – Measure word error rate (WER) or character error rate (CER), comparing output to a manually verified transcript.
• Speed – Time taken to process audio (real-time vs. batch) and turnaround time for manual review.
• Ease of Use – Intuitiveness of the interface, availability of tutorials, and customer support responsiveness.
• Cost-Effectiveness – Pricing model (per-minute, subscription, one-time purchase) relative to project volume.
• Integration Capabilities – Compatibility with existing tools (e.g., CRM, video editors, cloud storage).

• Background Noise Levels:
  • Clean Audio – Recorded in a quiet environment (e.g., studio-quality interviews). Expected: High accuracy (>95% WER).
  • Moderate Noise – Office chatter, street sounds, or low hum (e.g., podcasts). Expected: Moderate accuracy (85–95% WER).
  • High Noise – Loud environments (e.g., outdoor events, construction sites). Expected: Low accuracy (<80% WER); may require manual correction.
• Speaker Accents and Dialects:
  • Native Language Speakers – Test with regional accents (e.g., American vs. British English). Expected: Varies by tool’s language model training.
  • Non-Native Speakers – Includes second-language speakers or strong dialects (e.g., African American Vernacular English). Expected: Lower accuracy unless tool supports dialect-specific models.
• Speech Characteristics:

  

  Industry-Specific Applications of Transcription

  Transcription serves as a critical bridge between spoken language and written documentation, adapting its methodologies and standards to meet the distinct demands of various sectors. Each industry leverages transcription to enhance accuracy, compliance, accessibility, and operational efficiency, often while navigating unique challenges such as technical jargon, regulatory constraints, or high-stakes confidentiality. Below, key applications across five industries are examined, alongside protocols for handling sensitive materials and a comparative analysis of transcription needs in media and research. The role of transcription in accessibility is also explored, emphasizing its technical and ethical dimensions.
  

  Transcription in Legal Proceedings and Compliance

  Legal transcription is governed by strict adherence to procedural accuracy and confidentiality, as it underpins court records, depositions, and legal briefs. The primary challenges include deciphering rapid or overlapping speech, legal terminology (e.g., voir dire, habeas corpus), and maintaining chain-of-custody for evidence.
  

  Key Challenges in Legal Transcription:
  

  Jargon and Nuance: Legal proceedings often involve specialized vocabulary, procedural terms, and regional dialects that require domain expertise.

  Confidentiality: Transcripts may contain privileged information or evidence subject to legal protections (e.g., attorney-client privilege).

  Formatting Standards: Legal transcripts must adhere to specific layouts, including timestamps, speaker identification (e.g., "Attorney:"), and exhibit references.

Solutions and Protocols:
Transcription in legal contexts employs:

• Security Measures:
• Encrypted storage and transfer of audio files.
• Role-based access control (RBAC) for transcript handlers.
• Secure destruction protocols for physical/digital records post-retention period.
• Formatting Standards:
• Court Reporting: Uses real-time stenographic transcription with certified reporters for verbatim accuracy.
• Deposition Transcripts: Include exhibit logs, witness cross-references, and pagination aligned with legal citation standards (e.g., Federal Rules of Civil Procedure).
• Compliance Requirements:
• HIPAA (if medical-legal cases are involved).
• Gram-Leach-Bliley Act (GLBA) for financial litigation.
• State-specific rules (e.g., California’s Evidence Code § 1150 for court reporter certification).

Example: In United States v. Microsoft (2023), deposition transcripts were subject to redaction for trade secrets, requiring AI-assisted keyword filtering to comply with Defend Trade Secrets Act (DTSA) provisions.


Healthcare Transcription and Patient Data Security

Healthcare transcription prioritizes patient privacy and clinical precision, where errors can lead to misdiagnoses or regulatory penalties. Challenges include:

• Medical Jargon: Abbreviations (e.g., SOB for "shortness of breath"), acronyms (e.g., MRI, ECG), and condition-specific terminology.
• Audio Quality: Background noise from hospital equipment or rushed dictations by physicians.
• Regulatory Overlap: Compliance with HIPAA, GDPR (for international patient data), and Health Information Technology for Economic and Clinical Health (HITECH) Act.

Critical Protocols for Healthcare Transcription:


De-identification: Removal of patient names, birthdates, and medical record numbers (MRNs) via NLP-based redaction tools.

Timing Standards: Turnaround time for emergency dictations (e.g., <2 hours for critical care notes).

Audit Trails: Logging access to transcripts to track compliance with HIPAA’s Security Rule.

Formatting Standards:

• SOAP Notes: Structured as Subjective, Objective, Assessment, Plan (SOAP) with standardized headers.
• Discharge Summaries: Include ICD-10 codes, procedure names, and follow-up instructions.
• Voice Recognition Systems: Must integrate with EHR platforms (e.g., Epic, Cerner) to auto-populate fields while flagging ambiguous terms for review.

Example: A 2022 study in JAMA Network Open found that AI-assisted transcription reduced physician note completion time by 40% while maintaining 98% accuracy for diagnosis-related terms, provided human oversight was applied to complex cases.


Media and Entertainment: Podcasting vs. Academic Research Transcription

Transcription in media and research differs markedly in scope, audience expectations, and technical demands. Below is a comparative analysis of podcasting and academic research transcription needs:


Factor	Podcasting	Academic Research
Primary Purpose	Engagement, SEO optimization, accessibility for listeners with hearing impairments.	Documentation for peer review, citation, and methodological reproducibility.
Turnaround Time	24–72 hours for public release (competitive advantage for timely content).	1–4 weeks (depends on grant deadlines or journal submission cycles).
Editing Depth	Minimal edits for clarity (e.g., filler word removal: "uh," "like"). Transcript formatting for readability (bolded speaker names, timestamps). Optional: SEO keywords for discoverability.	Verbose and precise (e.g., retaining pauses, hesitations for qualitative analysis). Citation-ready formatting (e.g., APA/MLA style for quotes). Annotations for methodological context (e.g., "[Participant #3, Line 45]").
Audience Expectations	Casual tone; may include humor or informal language. High demand for accuracy in quotes (e.g., interviews with experts). Dynamic formatting for social media sharing (e.g., Twitter threads).	Formal, jargon-heavy, and discipline-specific (e.g., "statistical significance" in psychology). Requires footnotes or appendices for technical terms. Must align with Open Access or institutional repository standards.
Tools and Technologies	Automated tools (e.g., Otter.ai, Descript) for speed. Human review for accuracy (especially for interviews). Plugins for podcast platforms (e.g., PowerPress for WordPress).	Specialized software (e.g., NVivo for qualitative data, Transana for multimedia analysis). Manual transcription for focus groups or ethnographic field notes. Integration with reference managers (e.g., Zotero, EndNote).
Compliance/Standards	ADA compliance for accessibility (closed captions for videos).	Institutional Review Board (IRB) approval for human subjects data. Data Management Plans (DMPs) for funded research. FAIR Principles (Findable, Accessible, Interoperable, Reusable) for datasets.

Example: The podcast "The Daily" (NYT) uses real-time transcription to publish show notes within hours, while academic journals like Nature require double-blind peer review of transcripts before publication, often extending timelines.


Transcription for Accessibility: Subtitles, Closed Captions, and Audio Descriptions

Accessibility transcription extends beyond verbatim conversion to include timed text, audio descriptions, and multilingual support, ensuring content is usable by individuals with hearing, visual, or cognitive disabilities. Technical specifications vary by platform and standard:

1. Subtitles and


Skills and Best Practices for Professional Transcription

Professional transcription demands a blend of technical expertise and soft skills to deliver accurate, high-quality outputs while adhering to industry standards. Mastery of these competencies ensures efficiency, minimizes errors, and enhances adaptability across diverse projects—from legal depositions to medical dictations. Below, the essential skills are categorized into technical and soft skill domains, followed by actionable strategies for improvement. Additionally, structured checklists, style guides, and time-management frameworks are provided to optimize workflows, particularly for projects with tight deadlines.


Essential Skills for Professional Transcribers

Transcription proficiency relies on two core skill categories: technical skills, which involve hardware, software, and procedural knowledge, and soft skills, which encompass cognitive and interpersonal abilities. Both are critical for maintaining accuracy, speed, and professionalism.

Technical Skills
Proficiency in technical skills ensures transcribers can navigate tools efficiently, reduce manual errors, and leverage automation where applicable. Key areas include:


• Keyboarding and Typing Speed: A baseline of 60+ words per minute (WPM) with 98%+ accuracy is standard, though specialized fields (e.g., legal or medical) may require higher precision over speed.
• Software Proficiency: Familiarity with transcription software (e.g., Express Scribe, oTranscribe, InqScribe) and editing tools (e.g., Adobe Audition, Audacity) for audio manipulation, timestamps, and formatting.
• Keyboard Shortcuts: Mastery of shortcuts (e.g., play/pause, rewind, speaker labeling) to minimize mouse dependency and streamline workflows.
• File Formats and Compatibility: Understanding of audio/video file types (e.g., MP3, WAV, MP4) and their implications for transcription quality (e.g., noise reduction, bitrate).
• Transcription Software Features: Utilization of built-in tools like automatic punctuation suggestions, speaker differentiation, and timecoding to enhance consistency.

Soft Skills
Soft skills address the cognitive and emotional aspects of transcription, directly impacting accuracy, discretion, and client satisfaction. Critical competencies include:


• Active Listening: The ability to discern nuances in speech, such as tone, emphasis, and background noise, to transcribe contextually accurate content.
• Discretion and Confidentiality: Adherence to non-disclosure agreements (NDAs) and ethical handling of sensitive material (e.g., legal, medical, or corporate data).
• Attention to Detail: Vigilance in spotting homophones (e.g., "their" vs. "there"), jargon, and transcription-specific errors (e.g., missing punctuation, mislabeled speakers).
• Time Management: Balancing speed and accuracy, especially under tight deadlines, through techniques like batch processing and prioritization.
• Adaptability: Adjusting to varying accents, dialects, and technical terminology without compromising clarity or professionalism.

Actionable Tips for Skill Improvement
To refine these skills systematically, transcribers can implement the following strategies:


1. Technical Skill Development
   • Practice typing drills (e.g., using tools like TypingClub) to improve speed and accuracy, focusing on number/letter combinations common in transcription (e.g., dates, medical codes).
   • Familiarize with transcription software tutorials (e.g., YouTube channels like "Transcription Training") to explore advanced features such as hotkeys for speaker labels or batch processing.
   • Test audio files with variable noise levels (e.g., street noise, poor microphone quality) to simulate real-world challenges and refine listening skills.
   • Use text expansion tools (e.g., AutoHotkey, TextExpander) to automate repetitive phrases (e.g., speaker labels, common medical/legal terms).
2. Soft Skill Enhancement
   • Engage in active listening exercises, such as transcribing podcasts or TED Talks, to train the ear for subtle speech patterns and emotional cues.
   • Participate in peer review sessions or join transcription communities (e.g., Reddit’s r/Transcription) to discuss common pitfalls and best practices.
   • Develop checklists for discretion (e.g., "Does this file contain HIPAA-protected data?") to reinforce confidentiality protocols.
   • Practice mindfulness techniques (e.g., short breaks every 25–30 minutes) to mitigate fatigue-related errors, particularly during long sessions.
3. Field-Specific Training
   • For legal transcription, study courtroom terminology (e.g., "objection sustained," "exhibit A") and formatting rules (e.g., bolding witness names).
   • In medical transcription, memorize abbreviations (e.g., "SOB" for shortness of breath) and anatomy-related terms to avoid misinterpretations.
   • Use industry-specific glossaries (e.g., from the Association for Healthcare Transcription Professionals) to build a personalized vocabulary bank.

Checklist for Ensuring Transcription Accuracy

Accuracy is the cornerstone of transcription quality, and a structured approach—spanning pre-listening, real-time transcription, and post-editing—minimizes errors. Below is a tiered checklist to standardize the process:

Pre-Listening Preparation
Before initiating transcription, transcribers should:

1. Review the Project Brief: Confirm deliverables (e.g., timestamps, speaker labels, formatting style) and deadlines. Note any special instructions (e.g., "Transcribe only the first 10 minutes").
2. Familiarize with Terminology: For specialized fields, compile a glossary of terms (e.g., legal definitions, medical acronyms) and cross-reference with industry standards (e.g., AMA Manual of Style for medical transcription).
3. Assess Audio Quality: Use audio editing software to pre-process files (e.g., normalize volume, reduce background noise) if possible. Flag files with unacceptable quality for client clarification.
4. Set Up Workspace: Ensure a quiet environment, ergonomic setup, and backup power to avoid interruptions. Use noise-canceling headphones for clarity.
Real-Time Transcription Techniques
During transcription, employ these strategies to maintain precision:
1. Pause and Rewind: For unclear sections, rewind in 5–10 second increments rather than skipping ahead. Use the "50% speed" feature in software to catch missed words.
2. Speaker Labeling Consistency: Assign unique labels (e.g., "INT" for interviewer, "PT" for patient) and maintain them throughout. Avoid ambiguous terms like "Person 1."
3. Handle Disfluencies: Transcribe filler words (e.g., "um," "like") unless instructed otherwise. Use brackets for non-verbal cues (e.g., "[laughter]") to preserve context.
4. Chunking: Break audio into 5–10 minute segments to avoid mental fatigue. Use bookmarks in software to mark progress.
Post-Editing Review
After completing a draft, apply this review protocol to catch residual errors:
1. Read Aloud: Play the audio while reading the transcript to identify timing mismatches or omissions. Highlight discrepancies in yellow for correction.
2. Cross-Check with Audio: Use the "play from cursor" function to verify each sentence. Pay attention to punctuation placement (e.g., commas in lists).
3. Consistency Audit: Run a find/replace for common inconsistencies (e.g., "Dr." vs. "Doctor," "10:00 AM" vs. "10 AM"). Use style guides (see below) as a reference.
4. Final Proofread: Use grammar tools (e.g., Grammarly, Hemingway Editor) for basic errors, but never rely solely on automation for technical accuracy.

Transcription Style Guide Templates



Challenges and Solutions in Professional Transcription

Transcription, while a critical service across industries, encounters systematic obstacles that can compromise accuracy, efficiency, and ethical integrity. These challenges range from technical limitations in audio quality to nuanced linguistic and contextual barriers, each requiring tailored solutions to ensure precision and reliability. Addressing these issues proactively not only enhances workflows but also upholds professional standards and client trust. Below, structured approaches to common challenges, ethical considerations, decision-making frameworks for transcription modalities, and client communication protocols are outlined to mitigate risks and optimize outcomes.


Common Obstacles and Troubleshooting Strategies

Transcription professionals frequently encounter technical, linguistic, and contextual challenges that disrupt workflows and degrade output quality. Below is a structured table outlining key challenges, their operational impacts, immediate corrective actions, and sustainable long-term solutions.


Challenge	Impact	Immediate Fix	Long-Term Solution
Poor Audio Quality Background noise (e.g., traffic, office chatter). Low volume or clipped audio. Echo or distorted frequencies.	Increased transcription errors (e.g., misheard words, omitted phrases). Higher revision requests and client dissatisfaction. Extended turnaround times due to repeated listening.	Use noise-reduction software (e.g., Audacity, Krisp) to isolate speech. Adjust playback speed or amplify specific segments. Flag ambiguous sections for client clarification.	Implement pre-recording checks with clients (e.g., audio quality guidelines). Invest in professional-grade microphones (e.g., Shure MV7, Rode NT-USB) for source recordings. Train clients on optimal recording environments (e.g., quiet rooms, proper mic placement).
Accents and Dialects Non-native or regional speech patterns (e.g., British vs. American English). Rapid or slurred speech. Unfamiliar phonetic structures (e.g., Arabic, Mandarin tones).	Misinterpretation of words (e.g., "write" vs. "right"). Loss of contextual meaning in technical fields (e.g., medical, legal). Cultural or professional missteps (e.g., formal vs. informal language).	Consult phonetic dictionaries or accent-specific resources (e.g., Forvo, YouGlish). Slow playback and segment-by-segment verification. Engage native speakers for verification in critical projects.	Build a database of common industry-specific accents/dialects for reference. Partner with specialized transcription services for niche languages (e.g., legal Spanish, medical Mandarin). Use AI-assisted tools (e.g., Google Speech-to-Text) with language models trained on diverse accents.
Industry-Specific Jargon Technical terminology (e.g., legal: "res ipsa loquitur", medical: "myocardial infarction"). Acronyms and abbreviations (e.g., HR: "PTO", IT: "DNS"). Dynamic or evolving terminology (e.g., AI: "prompt engineering").	Inaccurate or incomplete transcriptions leading to legal/medical misinterpretations. Client frustration due to unfamiliar terms. Higher revision cycles and delayed project delivery.	Pause transcription to research terms using industry glossaries (e.g., WHO terminology, Black’s Law Dictionary). Include footnotes or brackets for unclear terms (e.g., "[unclear: acronym]"). Request client-provided glossaries for specialized projects.	Develop and maintain a custom terminology database for frequent clients. Collaborate with subject-matter experts (SMEs) for verification. Integrate AI tools with domain-specific training (e.g., Rev’s medical transcription models).
Time Constraints and Deadlines Tight turnaround times (e.g., 24-hour legal depositions). Last-minute requests or rush projects. Balancing multiple concurrent projects.	Rushed transcriptions with higher error rates. Burnout and reduced productivity. Client dissatisfaction due to delays or inaccuracies.	Prioritize tasks using the Eisenhower Matrix (urgent vs. important). Allocate additional resources (e.g., team members, freelancers) for critical deadlines. Communicate proactively with clients about potential delays.	Implement project management tools (e.g., Trello, Asana) to track timelines. Set realistic deadlines during onboarding and enforce buffer times for revisions. Automate repetitive tasks (e.g., formatting, basic transcription) with AI to reduce manual workload.
Confidentiality and Data Security Handling sensitive information (e.g., HIPAA-compliant medical records, GDPR-protected data). Unauthorized access or data breaches. Compliance violations (e.g., SOC 2, ISO 27001).	Legal repercussions and financial penalties. Loss of client trust and reputational damage. Operational disruptions due to audits or investigations.	Use encrypted storage (e.g., AWS S3, Dropbox Business) for files. Restrict access via role-based permissions (e.g., only authorized personnel).Transcription is more than a mechanical conversion of speech to text; it is a disciplined practice that upholds integrity, clarity, and adaptability across disciplines. Whether leveraging cutting-edge AI, refining human expertise, or navigating ethical dilemmas, the discipline continues to evolve in response to technological advancements and societal needs. Mastering transcription requires balancing precision with pragmatism—ensuring that every word captured not only reflects accuracy but also serves its intended purpose, from legal admissibility to audience engagement. As industries increasingly rely on transcribed content, its role as a linchpin of communication and documentation remains indispensable. FAQ What does it mean to transcribe something in the context of music? In music, transcribe means to write down or notate a piece of music that was originally performed or recorded, typically by ear. This can include converting audio (like a song or instrumental) into sheet music or MIDI data. Musicians often transcribe solos, compositions, or complex arrangements to study or recreate them. What does transcribe mean when referring to a Zoom meeting? In Zoom, transcribe refers to automatically generating a text-based record of spoken words during a meeting using the built-in transcription feature. This creates a searchable transcript of the conversation, which can be saved or exported for reference. It relies on Zoom’s speech-to-text technology. How does the "transcribe" function work on Zoom? On Zoom, the transcribe function uses AI to convert live or recorded audio into text in real time (for live meetings) or afterward (for recordings). You can enable it during a meeting or process a saved recording to generate a transcript. The feature supports multiple languages and can be edited for accuracy. What does transcribe mean when used on WhatsApp? On WhatsApp, transcribe isn’t a built-in feature, but it can refer to manually typing out (transcribing) voice messages or audio clips into text. Some third-party tools or services may offer automatic transcription for WhatsApp audio, but WhatsApp itself doesn’t natively transcribe voice messages. What does transcribe mean in Microsoft Teams? In Microsoft Teams, transcribe means using the built-in live transcription feature to convert spoken words in meetings or calls into text automatically. This appears as a scrollable transcript during the session and can be saved or exported. Teams also transcribes recorded meetings post-session for accessibility or review. What does transcribe mean in biology? In biology, transcribe refers to the process by which a segment of DNA is copied into RNA (specifically mRNA) during gene expression. This occurs in the nucleus of a cell and is the first step in producing proteins, where the RNA sequence carries genetic instructions to ribosomes. The term contrasts with translation, where RNA is used to build proteins. audio to text conversion industry-applications professional transcription transcription transcription tools Leave a Comment Name Comment Post Comment Comments are moderated before appearing. The data you submit is processed according to the Privacy Policy of Voltefac.